Updated on 2023/10/28

写真a

 
KAWAGUCHI, Nobuo
 
Organization
Institutes of Innovation for Future Society Mobility Research Course Professor
Graduate School of Engineering Professor
Graduate School
Graduate School of Engineering
Graduate School of Humanities
Undergraduate School
School of Engineering
Title
Professor
External link

Degree 2

  1. Dr. Eng. ( 1997.2   Nagoya University ) 

  2. 修士(工学) ( 1992.3   名古屋大学 ) 

Research Interests 16

  1. Spatio Temporal Information System

  2. Smart City

  3. Location Information System

  4. Ubiquitous Sensing

  5. Information System

  6. Ubiquitous System

  7. コンピュータネットワーク

  8. Smart City

  9. ヒューマンインタフェース

  10. ユビキタスシステム

  11. Ubiquitous Sensing

  12. Location Information System

  13. 情報システム

  14. 情報基礎論

  15. Ubiquitous System

  16. Computer Network

Research Areas 11

  1. Others / Others  / Ubiquitous Computing

  2. Others / Others  / Software

  3. Others / Others  / Communication/Network Engineering

  4. Others / Others  / Media Informatics/Data Base

  5. Others / Others  / Computer System Network

  6. Informatics / Theory of informatics

  7. Informatics / Human interface and interaction  / Activity recognition

  8. Informatics / Software

  9. Informatics / Human interface and interaction  / Activity recognition

  10. Informatics / Information network

  11. Informatics / Computer system

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Current Research Project and SDGs 7

  1. Research and Development of Location Information System

  2. Context and Human Activity Sensing System

  3. Location Estimation Methods using Wireless LAN and its Application

  4. Application of Linked Open Data

  5. New Generation Network Communication

  6. Development of Eco Ubiquitous System

  7. Visual Support Methods for Analysis, Verification and Transformation of Term Rewriting Systems.

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Research History 12

  1. Nagoya University   Institute of Innovation for Future Society

    2016.4

  2. Nagoya University   Institute of Innovation for Future Society Social InnovationDesign Center (SIDC)   Vice President

    2015.4 - 2019.3

  3. Nagoya University   Graduate School of Engineering   Professor

    2009.6

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  4. Graduate School of Engineering, Nagoya University   Professor

    2009.6

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  5. Graduate School of Engineering, Nagoya University Professor

    2009.6

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    Country:Japan

  6. Associate Professor, Graduate School of Engineering, Nagoya Univeristy

    2006.4 - 2009.5

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    Country:Japan

  7. Associate Professor, National Institute of Informatics

    2005.3 - 2006.9

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    Country:Japan

  8. Associate Professor, Information Technology Center, Nagoya University

    2002.4 - 2006.3

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    Country:Japan

  9. Associate Professor, Nagoya University

    2000.10 - 2002.3

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    Country:Japan

  10. Lecturer, Nagoya University

    1999.4 - 2000.9

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    Country:Japan

  11. Assistant Professor, Nagoya University

    1997.4 - 1999.3

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    Country:Japan

  12. Assistant Professor, Nagoya University

    1995.4 - 1997.3

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    Country:Japan

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Education 2

  1. Nagoya University   Graduate School, Division of Engineering   Department of Information Engineering

    1990.4 - 1995.3

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    Country: Japan

  2. Nagoya University   Faculty of Engineering

    1986.4 - 1990.3

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    Country: Japan

Professional Memberships 16

  1. Information Processing Society of Japan

    2011.6 - 2013.5

  2. 電気学会

  3. ACM

  4. IEEE

  5. 日本音響学会

  6. 電子情報通信学会

  7. 人工知能学会

  8. Japan Society for Software Science and Technology

  9. 電子情報通信学会

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  10. IEEE

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  11. 人工知能学会

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  12. 情報処理学会

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  13. 日本ソフトウェア科学会

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  14. 日本音響学会

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  15. 電気学会

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  16. ACM

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Committee Memberships 7

  1. 日本学術振興会 学術システム研究センター   主任研究員  

    2018.4 - 2022.3   

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    Committee type:Other

    科学研究費補助金や特別研究員制度などに関する議論や科研費の審査員の選考・審査の検証などを行った。

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  2. 日本学術振興会 学術システム研究センター   主任研究員  

    2018.4 - 2022.3   

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    Committee type:Other

    科学研究費補助金や特別研究員制度などに関する議論や科研費の審査員の選考・審査の検証などを行った。

  3. 総務省 スマートIoT推進フォーラム テストベッド分科会   分科会長  

    2016.8   

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    Committee type:Government

    情報通信機構(NICT)の総合テストベッドなどの利活用・普及や次世代テストベッドに関する提言を行う

  4. 国土交通省 新道路技術会議   委員  

    2017.10 - 2021.10   

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    Committee type:Government

  5. 総務省G空間×ICT推進会議   委員  

    2013.3 - 2016.2   

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  6. 国土地理院測量行政懇談会基本政策部会   部会委員  

    2012.4 - 2013.9   

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  7. 国土地理院 地理空間情報産学官中部地区連絡協議会   委員  

    2010.8   

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    Committee type:Government

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Awards 4

  1. 情報処理学会 論文賞

    2023.3   情報処理学会   大規模ユーザの滞在情報に基づくエリアの特徴付けとCOVID-19による影響分析

    庄子和之, 青木俊介, 米澤拓郎, 河口信夫

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    Award type:Honored in official journal of a scientific society, scientific journal  Country:Japan

  2. 情報処理学会 論文賞

    2013.6   情報処理学会  

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    Country:Japan

  3. Best Demo Award

    2009.5   Mobile Data Management 2009  

  4. 山下記念研究賞

    2005.7   情報処理学会  

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    Country:Japan

 

Papers 506

  1. ER-Chat: A Text-to-Text Open-Domain Dialogue Framework for Emotion Regulation Reviewed

    Katayama Shin, Aoki Shunsuke, Yonezawa Takuro, Okoshi Tadashi, Nakazawa Jin, Kawaguchi Nobuo

    IEEE TRANSACTIONS ON AFFECTIVE COMPUTING   Vol. 13 ( 4 ) page: 2229 - 2237   2022.10

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEEE Transactions on Affective Computing  

    Emotions are essential for constructing social relationships between humans and interactive systems. Although emotional and empathetic dialogue generation methods have been proposed for dialogue systems, appropriate dialogue involves not only mirroring emotions and always being empathetic but also complex factors such as context. This paper proposes Emotion Regulation Chat (ER-Chat) as an end-to-end dialogue framework for emotion regulation. Emotion regulation is concerned with actions to approach appropriate emotional states. Learning appropriate emotion and intent when responding on the basis of the context of the dialogue enables the generation of more human-like dialogue. We conducted automatic and human evaluations to demonstrate the superiority of ER-Chat over the baseline system. The results show that inclusion of emotion and intent prediction mechanisms enable generation of dialogues with greater fluency, diversity, emotion awareness, and emotion appropriateness, which are greatly preferred by humans.

    DOI: 10.1109/TAFFC.2022.3191973

    Web of Science

    Scopus

  2. Deep Learning for Ballroom Dance Recognition: A Temporal and Trajectory-Aware Classification Model With Three-Dimensional Pose Estimation and Wearable Sensing Reviewed

    Matsuyama Hitoshi, Aoki Shunsuke, Yonezawa Takuro, Hiroi Kei, Kaji Katsuhiko, Kawaguchi Nobuo

    IEEE SENSORS JOURNAL   Vol. 21 ( 22 ) page: 25437 - 25448   2021.11

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEEE Sensors Journal  

    Dance performance recognition methods have been investigated and shown various applications such as picture-pose evaluation and synchronizing foot timing and direction. However, detailed analysis and feedback are still missing. To provide them, understanding the performance by component level is necessary. Specifically, we formulate it as a dance-figure classification problem using three-dimensional body joints and wearable sensors. Our model is based on long short-term memory (LSTM) and includes the temporal and trajectory-wise structure that uses the trajectory information in a timestep and the temporal masking module. As a result, we achieved 93% accuracy with our proposed method, which is highly overwhelming the baseline result (84.7%) and very close to the accuracy of the experienced dancers (93.6%). We have made the dataset of ballroom dance performance dataset open to researchers to develop the activity recognition field further.

    DOI: 10.1109/JSEN.2021.3098744

    Web of Science

    Scopus

  3. 大規模ユーザの滞在情報に基づくエリアの特徴付けとCOVID-19による影響分析 Reviewed

    庄子 和之, 青木 俊介, 米澤 拓郎, 河口 信夫

    情報処理学会論文誌   Vol. 62   page: 1644 - 1657   2021.10

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (scientific journal)  

  4. IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment Reviewed International coauthorship

    Hitoshi Matsuyama, Nobuo Kawaguchi, Brian Y. Lim

    28th International Conference on Intelligent User Interfaces (IUI 2023)     2023.3

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: https://doi.org/10.48550/arXiv.2303.09097

  5. Co-ordinated autonomous networks for remote synchronized video services with the autonomous mobility robots - prelude implementation Reviewed

    Hideki Yamamoto, Masato Iwashita, Norio Kondo, Leon Wong, Yusaku Kaneta, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

    The 5th International Conference on Artificial Inteligence in Incformation and Communication     2023.2

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

  6. A Survey of Ground Truth Measurement Systems for Indoor Positioning Reviewed

    Yoshida Takuto, Kaji Katsuhiko, Ogiso Satoki, Ichikari Ryosuke, Uchiyama Hideaki, Kurata Takeshi, Kawaguchi Nobuo

    Journal of Information Processing   Vol. 31 ( 0 ) page: 15 - 20   2023.1

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Information Processing Society of Japan  

    <p>Various types of indoor positioning methods have been proposed. Accordingly, various ground-truth measurement methods have also been used. The selection of the ground-truth measurement method is crucial when appropriately evaluating the indoor positioning methods. In recent years, data-driven methods have been actively proposed, making the ground-truth measurement even more critical. Most existing survey papers only focus on classifying indoor positioning methods and datasets for evaluation. Our survey paper investigates the methods to measure the ground truth. First, we list the primary examples of ground truth measurement systems and summarize their characteristics, such as the scale, accuracy, and frequency when collecting ground truth. Then, we classify them into the following five categories: OMC, ToF/MFPS, SLAM, Manual, and Others. Their advantages and disadvantages are also discussed based on four indices: accuracy, coverage, device cost, and labor cost. Finally, we discuss the appropriate way to select the ground-truth measurement system for quantitative evaluation. Our survey will be the guideline for selecting an appropriate ground-truth measurement system for indoor positioning and indoor navigation.</p>

    DOI: 10.2197/ipsjjip.31.15

    Scopus

    CiNii Research

  7. 都市を対象とした大規模移動履歴に基づく疑似人流データ生成手法 Invited Reviewed

    田村 直樹, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    情報処理学会論文誌   Vol. 64 ( 1 ) page: 123 - 133   2023.1

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: doi/10.20729/00223417

  8. Understanding Regional Characteristics Through EC Data Analysis

    Yamaguchi K., Shoji K., Tamura N., Sakakura N., Matsukura Y., Hiranaga Y., Shimomura K., Urano K., Yonezawa T., Kawaguchi N.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   Vol. 14036 LNCS   page: 390 - 404   2023

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  

    The COVID-19 pandemic, which began in 2020, has changed people’s lives, and people are shopping more online. While the analysis of online shopping is becoming increasingly important, regional differences in consumption trends exist. This study proposes a data-driven regional modeling method based on EC purchase data to examine the regional characteristics of online shopping purchase trends. Using the proposed method, we quantified and visualized the degree of similarity of consumption trends among regions and the degree of dispersion of consumption trends within regions using approximately 300,000 lines of online shopping history for 3 years in Japan. As a result, we found that there was some disruption in the early stages of e-commerce for food products by region, while there was little difference in consumption trends among regions for daily necessities. In addition, for consumer durables and clothing, regional differences in consumption trends were confirmed in terms of the number of cars owned per capita, urbanization status, and other regional characteristics.

    DOI: 10.1007/978-3-031-34668-2_26

    Scopus

  9. Open-Domain Dialogue Management Framework Across Multiple Device for Long-Term Interaction

    Katayama S., Hayashida N., Urano K., Yonezawa T., Kawaguchi N.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   Vol. 14013 LNCS   page: 354 - 365   2023

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  

    This study explores the feasibility of dialogue systems with individuality capable of providing continuous and lasting assistance via a multiple device dialogue system. A framework has been devised to manage dialogue history, allowing for the use of a singular identity across various interfaces, including chatbots and virtual avatars. This framework can summarize and save the dialogue history, which can be utilized to generate responses. The impact of dialogue history sharing on users’ interactions with a particular character across various devices was assessed for naturalness, continuity, and reliability. The results indicate that dialogue history sharing can foster more natural and continuous conversations, thereby enhancing the potential for long-term support. This research advances the proposition that a digital agent endowed with a consistent identity across multiple devices can provide personalized and sustained support to users.

    DOI: 10.1007/978-3-031-35602-5_25

    Scopus

  10. Mobility Link XR: Interspace Interaction System in Electric Wheelchair

    Hayashida N., Shimosato H., Urano K., Yonezawa T., Kawaguchi N.

    Communications in Computer and Information Science   Vol. 1833 CCIS   page: 314 - 320   2023

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Communications in Computer and Information Science  

    This research proposes a communication system called Mobility Link XR that connects physical space and cyberspace with mobility. Mobility Link XR is a system that enables remote users to view panoramic video from a 360-degree camera attached to a mobility vehicle in different space by wearing a VR device, and mobility users to view the remote user as an avatar by wearing an MR device. In this way, sharing space in three dimensions using XR enables a higher level of human communication. In this paper, we apply Mobility Link XR to an electric wheelchair and design two types of scenarios: an assistance mode that reproduces the positional relationship of communication in a conventional wheelchair, and a passenger mode that reproduces the positional relationship inside a vehicle, which is said to be a suitable distance for conversation. We also evaluated the reproducibility of communication in the wheelchair and the effectiveness of communication using the avatar. The results showed that the reproducibility of voice and emotion was highly evaluated and that the side-by-side positional relationship enabled higher quality communication as the avatar was more easily seen and felt present.

    DOI: 10.1007/978-3-031-35992-7_43

    Scopus

  11. CrowdFlowTransformer: Capturing Spatio-Temporal Dependence for Forecasting Human Mobility

    Choya T., Tamura N., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

    2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023     page: 496 - 501   2023

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023  

    Crowd flow forecasting is expected to have a wide range of applications such as human resource allocation, guidance design, marketing, disaster mitigation and congestion prediction for avoiding epidemic such as COVID-19. Crowd flow forecasting is challenging because it requires considering both the task of capturing the temporal dependency of data and capturing the spatial dependence. To address these challenges, in this paper, we propose a mechanism for referencing time-series features that are important for forecasting and incorporating graph convolution into Transformer, and we introduce CrowdFlowTransformer(CF-Transformer), a deep learning model based on Google's Transformer framework captures the Spatio-temporal dependency of time series. CF-Transformer captures the time series dependency by extracting important local time series from the past time series, inputting them to the decoder of Transformer, and encoding critical features into the model's input. We adapted CF-Transformer to a real-world crowd flow dataset. We evaluated it by comparing its forecasting accuracy with conventional models, and the results demonstrate that our model outperforms the conventional models.

    DOI: 10.1109/PerComWorkshops56833.2023.10150301

    Scopus

  12. XR Communication System for Remote Control Wheelchairs Reviewed

    Hironori Shimosato, Nozomi Hayashida, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

    IoT '22: Proceedings of the 12th International Conference on the Internet of Things     page: 219 - 223   2022.11

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

  13. Dialogue Response Generation for Text-Based Dialogue Systems with Emotion Regulation

    KATAYAMA Shin, YONEZAWA Takuro, KAWAGUCHI Nobuo

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   Vol. 34 ( 3 ) page: 568 - 578   2022.8

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Japan Society for Fuzzy Theory and Intelligent Informatics  

    <p>Dialogue systems that handle emotions have been shown to improve user satisfaction and increase positive interactions, and are expected to play a role as a digital partner that accompanies humans. In order for dialogue systems to recognize user emotions and express their own emotions, emotion regulation methods that select appropriate emotions from the context of the dialogue are indispensable. In this paper, we propose a text-based dialogue framework that performs emotion regulation, which estimates appropriate emotions during response. Our proposed method estimates appropriate emotions by considering the semantic and emotional context of the user’s text, and generates dialogue responses with emotional expressions using a neural network. The effectiveness of the proposed method was demonstrated through automatic evaluation using an evaluation metrics for the quality of dialogue generation and human evaluation by 100 subjects collected through a crowdsourcing.</p>

    DOI: 10.3156/jsoft.34.3_568

    CiNii Research

  14. Towards Mobility-related Law Search by Utilizing Relationship between Laws

    KOMAMIZU Takahiro, TOYAMA Katsuhiko, KAWAGUCHI Nobuo, SANO Tomoya

    JSAI Technical Report, Type 2 SIG   Vol. 2022 ( SWO-057 ) page: 04   2022.8

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Japanese Society for Artificial Intelligence  

    DOI: 10.11517/jsaisigtwo.2022.swo-057_04

    CiNii Research

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  15. MetaPo: A Robotic Meta Portal for Interspace Communication Reviewed

    Yonezawa T., Hayashida N., Przybilla J., Kyono Y., Urano K., Kawaguchi N.

    Proceedings - SIGGRAPH 2022 Posters     2022.7

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Proceedings - SIGGRAPH 2022 Posters  

    We introduce MetaPo, a mobile robot with spheric display, 360° media I/O and robotic hands for creating a unified model of interspace communication. MetaPo works as a portal between pairs of physical-physical, cyber-cyber and cyber-physical spaces to provide 1) panoramic communication for multiple remote users, and 2) immersive interspace migration with mobility functionality. The paper overviews our concept and first prototype of MetaPo with its hardware and software implementation.

    DOI: 10.1145/3532719.3543255

    Scopus

  16. Smartphone Localization with Solar-Powered BLE Beacons in Warehouse Reviewed

    Kano Kazuma, Yoshida Takuto, Hayashida Nozomi, Asai Yusuke, Matsuyama Hitoshi, Katayama Shin, Urano Kenta, Yonezawa Takuro, Kawaguchi Nobuo

    DISTRIBUTED, AMBIENT AND PERVASIVE INTERACTIONS, SMART ENVIRONMENTS, ECOSYSTEMS, AND CITIES   Vol. 13325   page: 291 - 310   2022.6

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  

    Workloads in logistics warehouses have been increasing to meet growing demand, and a labor shortage has become a problem. Utilizing information of laborer locations leads to an increase in productivity. We propose an integrated positioning method using solar-powered Bluetooth Low Energy (BLE) beacons. They are easy to install and maintenance-free since they can work without power sources. However, their advertisement interval depends on illuminance and is unstable. Moreover, there are many obstructions in warehouses, such as shelves and products, which cause signal attenuation, interference, and packet losses. We apply particle filters, map matching, and speed prediction with a neural network model to improve robustness and accuracy. We installed 94 beacons in a logistics warehouse. We evaluated the accuracy and found that our method is more accurate than a baseline method.

    DOI: 10.1007/978-3-031-05463-1_21

    Web of Science

    Scopus

  17. Time-Sensitive Cooperative Perception for Real-Time Data Sharing over Vehicular Communications: Overview, Challenges, and Future Directions Invited Reviewed International coauthorship

    Shunsuke Aoki, Takuro Yonezawa, Nobuo Kawaguchi, Peter Steenkiste, Ragunathan Raj Rajkumar

    IEEE Internet of Things Magazine     2022.6

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    Language:English  

    DOI: https://doi.org/10.1109/IOTM.001.2100143

  18. 大規模屋外施設におけるWi-Fiパケットセンサへの影響と利活用の検証 Reviewed

    村井 大地, 浦野 健太, 望月 祐洋, 米澤 拓郎, 西田 純二, 河口 信夫

    情報処理学会 デジタルプラクティス   Vol. 3 ( 2 ) page: 12 - 21   2022.4

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (scientific journal)  

  19. 機械学習による慣性センサを用いた転倒動作検知に関する研究

    東浦圭亮,吉田拓人,加納一馬,瀧上昂希,山口公平,浦野健太,青木俊介,米澤拓郎,河口信夫

    社会システムと情報技術研究ウィーク (WSSIT2022)     2022.3

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  20. RobotNEST: Toward a Viable Testbed for IoT-Enabled Environments and Connected and Autonomous Robots Reviewed

    Aoki Shunsuke, Yonezawa Takuro, Kawaguchi Nobuo

    IEEE SENSORS LETTERS   Vol. 6 ( 2 )   2022.1

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEEE Sensors Letters  

    Autonomous mobile robots (AMRs), including delivery robots, security robots, and automated wheelchairs, are very promising for improving the quality of life, safety, mobility, and productivity. To deploy such sensor-rich AMRs in real-world society, we have to resolve not only technical challenges but also ethical and societal issues. In addition, since multiple companies are developing different types of AMRs individually, we have to design and develop practical platform to enable safe cooperation and collaboration before using them in the society. Hence, in this letter, we present a viable Nagoya Experimental Site and Testbed named <italic>RobotNEST</italic> developed at Nagoya City, Japan, where we leverage vehicular communications and edge/cloud computing technologies to develop cooperative mobile robots. RobotNEST provides real-world AMRs, experimental fields, learning kits, and infrastructural sensors and communications, including 5G private networks. We also introduce multiple developed applications at RobotNEST that enable safe cooperation for autonomous robots. Finally, we discuss the scalability and limitations of the testbed and conclude with future research directions.

    DOI: 10.1109/LSENS.2021.3139624

    Web of Science

    Scopus

  21. Synthetic People Flow: Privacy-Preserving Mobility Modeling from Large-Scale Location Data in Urban Areas Reviewed

    Tamura N., Urano K., Aoki S., Yonezawa T., Kawaguchi N.

    Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST   Vol. 419 LNICST   page: 553 - 567   2022

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST  

    Recently, there has been an increasing demand for traffic simulation and congestion prediction for urban planning, especially for infection simulation due to the Covid-19 epidemic. On the other hand, the widespread use of wearable devices has made it possible to collect a large amount of user location history with high accuracy, and it is expected that this data will be used for simulation. However, it is difficult to collect location histories for the entire population of a city, and detailed data that can reproduce trajectories is expensive. In addition, such personal location histories contain private information such as addresses and workplaces, which restricts the use of raw data. This paper proposes Agent2Vec, a mobility modeling model based on unsupervised learning. Using this method, we generate synthetic human flow data without personal information.

    DOI: 10.1007/978-3-030-94822-1_36

    Scopus

  22. A Data-Driven Approach for Online Pre-impact Fall Detection with Wearable Devices Reviewed

    Yoshida Takuto, Kano Kazuma, Higashiura Keisuke, Yamaguchi Kohei, Takigami Koki, Urano Kenta, Aoki Shunsuke, Yonezawa Takuro, Kawaguchi Nobuo

    SENSOR- AND VIDEO-BASED ACTIVITY AND BEHAVIOR COMPUTING, ABC 2021   Vol. 291   page: 133 - 147   2022

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Smart Innovation, Systems and Technologies  

    The implementation of wearable airbags to prevent fall injuries depends on accurate pre-impact fall detection and a clear distinction between activities of daily living (ADL) and them. We propose a novel pre-impact fall detection algorithm that is robust against ambiguous falling activities. We present a data-driven approach to estimate the fall risk from acceleration and angular velocity features and use thresholding techniques to robustly detect a fall before impact. In the experiment, we collect simulated fall data from subjects wearing an inertial sensor on their waist. As a result, we succeeded in significantly improving the accuracy of fall detection from 50.00 to 96.88%, the recall from 18.75 to 93.75%, and the specificity 81.25 to 100.00% over the baseline method.

    DOI: 10.1007/978-981-19-0361-8_8

    Web of Science

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  23. 3次元LiDARを搭載した自律走行ロボットを用いたWi-Fi電波強度および通信速度測定システム

    盛下 泰暉, 浅井 悠佑, 浦野 健太, 米澤 拓郎, 河口 信夫

    情報処理学会研究報告   Vol. 2021-MBL-101 ( 34 ) page: 1 - 6   2021.12

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  24. スマートメータを利用した行動認識のための電気使用量クラスタリングに関する検討

    深谷 暢也,浦野 健太,青木 俊介, 米澤 拓郎, 河口 信夫

    令和3年度 電気・電子・情報関係学会東海支部連合     2021.9

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  25. How to monitor multiple autonomous vehicles remotely with few observers: An active management method

    Ding M., Takeuchi E., Ishiguro Y., Ninomiya Y., Kawaguchi N., Takeda K.

    IEEE Intelligent Vehicles Symposium, Proceedings   Vol. 2021-July   page: 1168 - 1173   2021.7

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    In this research, we proposed an active management method to tele-monitor and tele-operate more autonomous vehicles (AVs) with few observers by adjusting the movement of the AVs actively. A management system is created to get the status from the AVs and separate the monitoring requirement to the observers optimally. When the requirements might be intensive, the management system can also adjust the movements of the AVs actively to distribute the monitoring time, which can make the observers monitor more vehicles. We implement and verify the management system in an autonomous driving simulator - CARLA for the limited number of AVs and observers. Based on the data acquired from the driving simulator, we also create a numerical simulator and tested our method with the pairs of a large number of AVs and observers. The result of both simulators shows that our method can reduce the utilization degree of observers and make them monitor more AVs.

    DOI: 10.1109/IV48863.2021.9575997

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  26. 都市を対象とした大規模移動履歴に基づく疑似人流データ生成手法

    田村 直樹, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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  27. 自律移動ロボットのセンサ機器を用いた人流推定手法の提案

    下里 浩昇, 片山 晋, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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  28. 大規模公園環境におけるWiFiパケットセンサデータの利活用に関する分析と課題

    村井 大地, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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  29. IoTに基づく潜在的社会需要の推定と柔軟なサービス需給交換基盤

    永田 吉輝, 村井 大地, 片山 晋, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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  30. 時空間ルーティングを用いた複数自律移動ロボットの協調走行

    福島 悠人, 浅井 悠佑, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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  31. 赤外線グリッドセンサを用いた深層学習での人の位置推定手法の検討

    戸出 悠太, 片山 晋, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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  32. Transformerモデルを用いた人流の時系列予測

    挺屋 友幹, 片山 晋, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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  33. 加速度の時空間情報を考慮した進行方向推定手法の検討

    吉田 拓人, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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  34. 都市を対象とした大規模移動履歴に基づく疑似人流データ生成手法

    田村 直樹, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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  35. 時間・空間的相関を考慮した人流の時系列予測手法

    挺屋 友幹, 青木 俊介, 米澤 拓郎, 河口 信夫

    研究報告ユビキタスコンピューティングシステム(UBI)     2021.3

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  36. An End-to-End BLE Indoor Localization Method Using LSTM

    Urano Kenta, Hiroi Kei, Yonezawa Takuro, Kawaguchi Nobuo

    Journal of Information Processing   Vol. 29 ( 0 ) page: 58 - 69   2021

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    <p>This paper proposes an indoor localization method for Bluetooth Low Energy (BLE) devices using an end-to-end LSTM neural network. We focus on a large-scale indoor space where there is a tough environment for wireless indoor localization due to signal instability. Our proposed method adopts end-to-end localization, which means input is a time-series of signal strength and output is the estimated location at the latest time in the input. The neural network in our proposed method consists of fully-connected and LSTM layers. We use a custom-made loss function with 3 error components: MSE, the direction of travel, and the leap of the estimated location. Considering the difficulty of data collection in a short preparation term, the data generated by a simple signal simulation is used in the training phase, before training with a small amount of real data. As a result, the estimation accuracy achieves an average of 1.92m, using the data collected in GEXPO exhibition in Miraikan, Tokyo. This paper also evaluates the estimation accuracy assuming the troubles in a real operation.</p>

    DOI: 10.2197/ipsjjip.29.58

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  37. An Active Management Method for Monitoring Multiple Autonomous Vehicles Remotely with Few Observers

    DING Ming, Takeuchi Eijiro, ISHIGURO Yoshio, NINOMIYA Yoshiki, KAWAGUCHI Nobuo, TAKEDA Kazuya

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)   Vol. 2021 ( 0 ) page: 2P1-B10   2021

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    <p>In this research, we proposed an active management method to monitor more autonomous vehicles (AVs) remotely with few observers. A management system is created to get the status from the AVs and separate the monitoring requirement to the observers optimally. When the requirements might be intensive, the management system can adjust the movements of the AVs actively to distribute the monitoring time, which can make the observers monitor more vehicles. Based on the data acquired from the driving simulator, we create a numerical simulator and test our method with different pairs of a large number of AVs and observers. The result showed that our method can reduce the utilization degree of observers and make them monitor more AVs.</p>

    DOI: 10.1299/jsmermd.2021.2p1-b10

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  38. RGNet: Robust Gravity Estimation Neural Network for IMU-based Localization Using Smartphone Reviewed

    Yoshida T., Urano K., Aoki S., Yonezawa T., Kawaguchi N.

    13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021     2021

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    With the rapid development of Micro Electro-Mechanical Systems (MEMS) technologies, indoor navigation and localization with Inertial Measurement Unit (IMU) has been increasingly feasible. IMU-based indoor localization is a low-cost, energy-efficient, and infrastructure-free approach. There are various methods for it, and most of them require gravity estimation (e.g. the projection of angular velocity, the extraction of horizontal acceleration). In particular, when you use a smartphone, it changes the orientation of its IMU frequently, therefore the gravity estimation needs to be more robust to sensor orientation and its noise. In this paper, we propose a gravity estimation method based on deep learning called RGNet (Robust Gravity Estimation Neural Network) that is robust to sensor orientation and noise. We train an LSTM (Long short-term memory)-based neural network that estimates gravity from acceleration and angular velocity. Furthermore, for the problem that it is difficult to prepare the ground truth of gravity directly, we propose a method to train the gravity estimation neural network indirectly using the heading, taking advantage of the fact that the heading can be estimated from the gravity and angular velocity. The evaluation results show that the accuracy of the proposed method outperformed the baseline gravity estimation method (Android API, Low-pass filter, and Extended Kalman filter). We also confirmed that the accuracy of IMU-based localization is affected by the difference in gravity estimation methods.

    DOI: 10.23919/ICMU50196.2021.9638853

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  39. Person-Flow Estimation with Preserving Privacy Using Multiple 3D People Counters Reviewed

    Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST   Vol. 372   page: 615 - 634   2021

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    DOI: 10.1007/978-3-030-76063-2_41

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  40. Estimating and Leveraging Latent Social Demand Based on IoT sensors: An Empirical Study in a Large Public Park Reviewed

    Nagata Y, Murai D, Katayama S, Urano K, Aoki S, Yonezawa T, Kawaguchi N

    13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021     page: 1 - 8   2021

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    DOI: 10.23919/ICMU50196.2021.9638789

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  41. DigiMobot: Digital Twin for Human-Robot Collaboration in Indoor Environments. Reviewed

    Yuto Fukushima, Yusuke Asai, Shunsuke Aoki, Takuro Yonezawa, Nobuo Kawaguchi

    IEEE Intelligent Vehicles Symposium(IV)   Vol. 2021-July   page: 55 - 62   2021

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    DOI: 10.1109/IV48863.2021.9575499

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  42. A Gaze-Based Unobstructive Information Selection by Context-Aware Moving UI in Mixed Reality Reviewed

    Hayashida N, Matsuyama H, Aoki S, Yonezawa T, Kawaguchi N

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   Vol. 12782 LNCS   page: 301 - 315   2021

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    DOI: 10.1007/978-3-030-77015-0_22

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  43. A Basic Study on Ballroom Dance Figure Classification with LSTM Using Multi-modal Sensor

    Matsuyama H, Hiroi K, Kaji K, Yonezawa T, Kawaguchi N

    Smart Innovation, Systems and Technologies   Vol. 204   page: 209 - 226   2021

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    The paper presents a ballroom dance figure classification method with LSTM using video and wearable sensors. Ballroom dance is a popular sport among people regardless of age or sex. However, learning ballroom dance is very difficult for less experienced dancers as it has many complex types of “dance figures”, which is a completed set of footsteps. Therefore, we aim to develop a system to assist dance exercise which gives advice proper to each dance figure characteristic by recognizing dance figures correctly. While the major approach to recognize dance performance is to utilize video, we cannot simply adopt it for ballroom dance because the images of dancers overlap each other. To solve the problem, we propose a hybrid figure recognition method combining video and wearable sensors to enhance its accuracy and robustness. We collect video and wearable sensor data of seven dancers including acceleration, angular velocity, and body parts location change by pose estimation. After that, we preprocess them and put them into an LSTM-based deep learning network. As a result, we confirmed that our approach achieved an F1-score of 0.86 for 13 figure types recognition using the multi-modal sensors with trial-based fivefold cross-validation. We also performed user-based cross-validation, and sliding window algorithms. In addition, we compared the results with our previous method using Random Forest and also evaluated the robustness with occlusions. We found the LSTM-based method worked better than Random Forest with keypoint data. On the other hand, LSTM could not perform well with a sliding window algorithm. We consider the LSTM-based method would work better with a larger dance figure data, which is our next work. In addition, we will investigate how to solve occlusion problems with pose estimation.

    DOI: 10.1007/978-981-15-8944-7_13

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  44. ER-Chat: 感情制御を伴う対話システム におけるテキスト応答生成手法

    片山 晋, 米澤 拓郎, 大越 匡, 中澤 仁, 河口 信夫

    情報処理学会研究報告 ユビキタスコンピューティングシステム(UBI)   Vol. 2020-UBI-68 No.26   2020.12

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  45. 感情制御を伴うテキスト対話システムの実現

    片山 晋, 米澤 拓郎, 大越 匡. 中澤 仁. 河口信夫

    人間情報学会オーラルセッション   Vol. 第37回   2020.12

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  46. Person-Flow Estimation with Preserving Privacy using Multiple 3D People Counters Reviewed

    Yoshiteru Nagata, Takuro Yonezawa, Nobuo Kawaguchi

    Transaction of 5th EAI International Conference on IoT in Urban Space     2020.12

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  47. Autonomous Mobile Robot System for Human Machine Harmonization using Harmoawre Invited

    Nobuo Kawaguchi

    IEEE InTech Forum     2020.12

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  48. COVID-19における人流分析とHarmoware-VISによる可視化

    河口信夫

    電子情報通信学会 SeMI 研究会     2020.11

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  49. COVID-19における人流分析とHarmoware-VISによる可視化 Invited

    河口信夫

    電子情報通信学会 SeMI 研究会     2020.11

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  50. 社交ダンスの動作特性を考慮した マルチモーダルセンサによるダンスフィガー認識 Reviewed

    松山 仁, 浦野 健太,廣井 慧, 梶 克彦, 米澤 拓郎, 河口 信夫

    情報処理学会論文誌   Vol. Vol. 61 ( No. 10 )   2020.10

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  51. A Basic Study on Ballroom Dance Figure Classification with LSTM using Multi-modal Sensor Reviewed

    Hitoshi Matsuyama, Kei Hiroi, Katsuhiko Kaji, Takuro Yonezawa, Nobuo Kawaguchi

    2nd International Conference on Activity and Behavior Computing     2020.9

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  52. 分散型人流・交通流シミュレータの大規模環境における 動作実証

    平野 流,米澤 拓郎,河口 信夫

    電気・電子・情報関係学会 東海支部連合大会     2020.9

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  53. エリア毎の滞在利用情報を用いた移動遷移モデルの分析

    庄子 和之,米澤 拓郎,河口 信夫

    電気・電子・情報関係学会 東海支部連合大会     2020.9

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  54. Wi-Fiパケットセンサを用いた大規模レジャー施設における人流分析

    村井 大地,米澤 拓郎,河口 信夫

    電気・電子・情報関係学会 東海支部連合大会     2020.9

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  55. Civic Crowdsensing through Location-aware Virtual Monsters Reviewed

    Takuro Yonezawa, Mina Sakamura, Jin Nakazawa, Nobuo Kawaguchi

    22nd INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION (HCII 2020)     2020.7

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  56. Civic Crowdsensing through Location-aware Virtual Monsters Reviewed

    Takuro Yonezawa, Mina Sakamura, Jin Nakazawa, Nobuo Kawaguchi

    22nd INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION (HCII 2020)   Vol. 12203 LNCS   page: 464 - 476   2020.7

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    DOI: 10.1007/978-3-030-50344-4_33

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    Other Link: https://dblp.uni-trier.de/db/conf/hci/hci2020-23.html#YonezawaSKN20

  57. Nurse Care Activity Recognition Challenge: A Comparative Verification of Multiple Preprocessing Approaches Reviewed

    Hitoshi Matsuyama, Takuto Yoshida, Nozomi Hayashida, Yuto Fukushima, Takuro Yonezawa, Nobuo Kawaguchi

    UbiComp-ISWC '20: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computer     page: 414   2020.7

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  58. 人と協調する倉庫内配送ロボットのシミュレーションを用いた最適化の検討

    浅井悠佑, 廣井 慧, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2020シンポジウム     2020.6

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  59. 大規模分散環境における人流・交通流シミュレータの設計と課題

    平野 流, 廣井 慧, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2020シンポジウム     2020.6

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  60. 複数の3D通過センサによるプライバシーを考慮した人流推定手法

    永田 吉輝, 廣井 慧, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2020シンポジウム     2020.6

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  61. 粒度の異なる多様な時空間データの保存・抽出システムの設計と実装

    鷲田 健斗, 廣井 慧, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2020シンポジウム     2020.6

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  62. 滞在に関する時系列情報を用いたエリア毎の分散表現の検討

    庄子和之,廣井慧,米澤拓郎,酒田理人,河口信夫

    マルチメディア、分散、協調とモバイル DICOMO2020シンポジウム     2020.6

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  63. Wi-Fiパケットセンサを用いた大規模レジャー施設における行動パターンの分析

    村井大地, 廣井 慧, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2020シンポジウム     2020.6

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  64. ドキドキをセンシングして可視化するLEDライティングデバイス

    浦野 健太, 廣井 慧, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2020シンポジウム     2020.6

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  65. CityFeder: 異種スマートシティ基盤を柔軟につなぐ プログラマブル・フェデレーション機構

    米澤 拓郎, 河崎 隆文, 吉田 拓人, 伊藤 友隆, 上津原 一利, 古城 篤, 中澤 仁, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2020シンポジウム     2020.6

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  66. CityFeder: 異種スマートシティ基盤を柔軟につなぐ プログラマブル・フェデレーション機構

    米澤 拓郎, 河崎 隆文, 吉田 拓人, 伊藤 友隆, 上津原 一利, 古城 篤, 中澤 仁, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2020シンポジウム     2020.6

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  67. Synerex: 超スマート社会を支える需給交換プラットフォームの設計コンセプトと機能

    河口 信夫, 米澤 拓郎, 廣井 慧

    情報処理学会研究報告 ユビキタスコンピューティングシステム(UBI)   Vol. 2020-UBI-65(49)   2020.3

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  68. 歩容に頑健なPDRのための深層学習を用いた進行方向推定手法

    吉田 拓人, 廣井 慧, 米澤 拓郎, 河口 信夫

    研究報告ユビキタスコンピューティングシステム(UBI)     2020.3

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  69. 柔軟に構成を変更可能な人流・交通流シミュレータの設計と評価

    平野 流, 廣井 慧, 米澤 拓郎, 河口 信夫

    研究報告モバイルコンピューティングとパーベイシブシステム研究会(MBL)     2020.3

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  70. マルチモーダル社交ダンス認識における従来手法と深層学習の比較評価

    松山 仁, 廣井 慧, 梶 克彦, 米澤 拓郎, 河口 信夫

    研究報告ユビキタスコンピューティングシステム(UBI)     2020.3

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  71. 個人に依存した時空間セマンティクスの分散表現の検討

    庄子 和之, 米澤 拓郎, 廣井 慧, 河口 信夫

    情報処理学会研究報告ユビキタスコンピューティングシステム(UBI)   Vol. 2020-UBI-65(30)   2020.3

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  72. 高精度MI磁気センサを用いたSMM位置推定の精度評価

    渡邊 康祐 , 廣井 慧 , 米澤 拓郎 , 梶 克彦 , 河口 信夫

    情報処理学会研究報告ユビキタスコンピューティングシステム(UBI)   Vol. 2020-UBI-65(31)   2020.3

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  73. 倉庫における人と自律配送ロボットの協調制御手法の基礎的検討

    浅井 悠佑, 廣井 慧, 米澤 拓郎, 河口 信夫

    情報処理学会研究報告ユビキタスコンピューティングシステム(UBI)   Vol. 2020-UBI-65(33)   2020.3

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  74. ドキドキをセンシングして可視化するLEDライティングデバイスの検討

    浦野 健太,廣井 慧,米澤 拓郎,河口 信夫

    研究報告モバイルコンピューティングとパーベイシブシステム研究会(MBL)     2020.3

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  75. 回転磁石マーカを用いたスマートフォン2次元経路推定 Reviewed

    渡邊 康祐, 廣井 慧, 米澤 拓郎, 梶 克彦, 河口 信夫

    情報処理学会論文誌   Vol. Vol.61 ( No.2 )   2020.2

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  76. 地形の影響を考慮した積雪時のバス遅延の分析と到着時刻予測への適用 Reviewed

    廣井 慧, 花之内 広太郎, 今井 瞳, 河口 信夫

    電気学会論文誌C(電子・情報・システム部門誌)   Vol. 140 巻 ( 2 号 ) page: 257 - 266   2020.2

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  77. An Analysis of Bus Traffic Delay with Geographical Characteristics and an Application to Arrival Time Prediction in Snowfall Situation

    Hiroi Kei, Hananouchi Koutaro, Imai Hitomi, Kawaguchi Nobuo

    IEEJ Transactions on Electronics, Information and Systems   Vol. 140 ( 2 ) page: 257 - 266   2020

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    <p>Bus transportation service is more influenced than other public transport by various factors such as traffic congestion, weather condition, number of passengers, traffic signals. These factors often cause delay and the users may feel inconvenience while waiting at the bus stop. In the case of snowfall event, a large delay occurs, which greatly reduces the convenience of the bus. This paper aims at highly accurate arrival time prediction for each bus stop section in snow event in urban area. We investigate vulnerability of bus operations to snowfall and incorporate into predictions using geographical characteristics. In each bus stop section, we estimate geographical characteristics (gradient angle and gradient direction) and snow accumulation amount with detailed spatial resolution as factors affecting bus delay. Then, we evaluate a prediction accuracy using the arrival time prediction model with multiple regression analysis and the Kalman filter. As a result of the multiple regression analysis, it was found that the geographical characteristics of each bus stop section were the explanatory variables that greatly affect the bus delay at snowfall event. Furthermore, we predicted the bus arrival time using actual bus operation data. Of the 29 routes, 18 routes showed improvement in the predicted arrival time.</p>

    DOI: 10.1541/ieejeiss.140.257

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  78. ユーザの休日における外出先POI情報に基づくプライバシーを考慮した居住地属性推定手法の一検討

    湯木悠太, 米澤拓郎, 廣井慧, 河口信夫

    情報処理学会研究報告モバイルコンピューティングとパーベイシブシステム研究会(MBL)   Vol. Vol.2019-MBL-03 ( No.7 )   2019.11

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  79. Anomaly Event Detection using Bus Management Information -Case Study of Anomaly Operation Status Detection and Its Application Reviewed

    Wei Sun , Kei Hiroi , Takuro Yonezawa , Nobuo Kawaguchi

      ( 2019-ITS-79(5) ) page: 1 - 5   2019.11

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  80. Anomaly Event Detection using Bus Management Information -Case Study of Anomaly Operation Status Detection and Its Application Reviewed

    Wei Sun, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

      ( 2019-ITS-79(5) ) page: 1 - 5   2019.11

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  81. An End-to-End BLE Indoor Location Estimation Method using LSTM Reviewed

    Kenta Urano, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

    ICMU2019     2019.11

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  82. An End-to-End BLE Indoor Location Estimation Method using LSTM Reviewed

    Kenta Urano, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

    ICMU2019     2019.11

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  83. An End-to-End BLE Indoor Location Estimation Method Using LSTM

    Urano K, Hiroi K, Yonezawa T, Kawaguchi N

    2019 12th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2019     2019.11

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    Indoor location estimation has long been researched to realize location-based services. In this paper, we propose an indoor location estimation method for Bluetooth Low Energy (BLE) devices using end-to-end LSTM neural network. We focus on large-scale exhibition where is a tough environment for wireless indoor location estimation due to signal strength instability. To achieve higher accuracy, deep learning based methods are proposed rather than trilateration or fingerprint. Existing deep learning based methods estimate the location from the probabilities using the difference of query signal strength and autoencoder-reconstruction of it. Proposed method adopts end-to-end location estimation, which means the neural network takes a time-series of signal strength and outputs the estimated location at the latest time in the input time-series. We also build a loss function which takes how a person walks into account. Considering the difficulty of data collection within a short preparation term of an exhibition, the data generated by a simple simulation is used in the training phase before training with a small amount of real data. As a result, the estimation accuracy is average of 1.92m, using the data collected in GEXPO exhibition in Miraikan, Tokyo. Proposed method outperforms our previous trilateration based method's 4.51m average.

    DOI: 10.23919/ICMU48249.2019.9006638

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  84. Sampling Rate Dependency in Pedestrian Walking Speed Estimation using DualCNN-LSTM Reviewed

    Takuto Yoshida, Junto Nozaki, Kenta Urano, Kei Hiroi, Katsuhiko Kaji, Takuro Yonezawa, Nobuo Kawaguchi

    Ubicomp2019     2019.10

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  85. End-to-End Walking Speed Estimation Method for Smartphone PDR using DualCNN-LSTM Reviewed

    Nobuo Kawaguchi, Junto Nozaki, Takuto Yoshida, Kei Hiroi, Takuro Yonezawa, Katsuhiko Kaji

    The Tenth International Conference on Indoor Positioning and Indoor Navigation(IPIN2019).     2019.9

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  86. End-to-End Walking Speed Estimation Method for Smartphone PDR using DualCNN-LSTM Reviewed

    Nobuo Kawaguchi, Junto Nozaki, Takuto Yoshida, Kei Hiroi, Takuro Yonezawa, Katsuhiko Kaji

    The Tenth International Conference on Indoor Positioning and Indoor Navigation(IPIN2019).     2019.9

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  87. Ballroom Dance Step Type Recognition by Random Forest Using Video and Wearable Sensor Reviewed

    Hitoshi Matsuyama, Kei Hiroi, Katsuhiko Kaji, Takuro Yonezawa, Nobuo Kawaguchi

    UBICOMP/ISWC'19     2019.9

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  88. 歩容に頑健なPDRのための深層学習を用いた歩行速度推定手法

    吉田 拓人, 野崎 惇登, 廣井 慧, 梶 克彦, 米澤 拓郎, 河口 信夫

    研究報告ユビキタスコンピューティングシステム(UBI)     2019.8

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  89. ニューラルネットワークを用いた大規模イベント向けBLE屋内位置推定の比較評価

    浦野健太,廣井慧,米澤拓郎,河口信夫

    マルチメディア、分散協調とモバイルシンポジウム2019論文集(DICOMO2019)     2019.7

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  90. 回転磁石マーカを用いたスマートフォン所持者の2次元経路推定

    渡邊康祐, 廣井慧, 米澤拓郎, 梶克彦, 河口信夫

    マルチメディア、分散協調とモバイルシンポジウム2019論文集(DICOMO2019)     2019.7

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  91. 人の回避行動を考慮した移動ロボットの経路計画法の検討

    浅井悠佑,廣井慧,米澤拓郎,河口信夫

    マルチメディア、分散協調とモバイルシンポジウム2019論文集(DICOMO2019)     2019.7

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  92. 異なるサービス提供者間におけるトラストモデル とその実装に関する研究

    平野流,廣井慧,米澤拓郎,河口信夫

    マルチメディア、分散協調とモバイルシンポジウム2019論文集(DICOMO2019)     2019.7

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  93. 自動運転車のレーザセンサを利用した路面性状調査 Reviewed

    浦野健太, 廣井慧, 加藤真平, 駒形望, 河口信夫

    マルチメディア、分散協調とモバイルシンポジウム2018論文集(DICOMO2018)   Vol. - ( - ) page: 264 - 269   2019.7

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  94. An Empirical Study of Adaptive Training of Daily Activity Classifier and Chat Application Designed for the Elderly to Go Out Reviewed

    Akira Tamamori, Yoshio Ishiguro, Kei Hiroi, Nobuo Kawaguchi, Kazuya Takeda

    IPSJ Transactions on Consumer Device & Systems (CDS)   Vol. 9 ( 2 ) page: 33 - 46   2019.5

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  95. Hybrid activity recognition for ballroom dance exercise using video and wearable sensor

    Matsuyama H., Hiroi K., Kaji K., Yonezawa T., Kawaguchi N.

    2019 Joint 8th International Conference on Informatics, Electronics and Vision, ICIEV 2019 and 3rd International Conference on Imaging, Vision and Pattern Recognition, icIVPR 2019 with International Conference on Activity and Behavior Computing, ABC 2019     page: 112 - 117   2019.5

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    In this paper, we propose a hybrid activity recognition method for ballroom dance exercise using video and wearable sensor. The purpose of our research is to design a mechanism to support ballroom dance exercise, and this paper reports the first part to design a mechanism is to support ballroom dance exercise, and this paper reports the first outcome to achieve the purpose - recognizing ballroom dance exercise. There are two conceivable ways to recognize dance exercise: videos and wearable sensor. However, each of them has its disadvantages. Using video is a good way to recognize the movement of the body. However, it cannot provide us accurate timing or strength of foot actions because the number of their flames per seconds is too small to recognize the fast movements of dancers. On the other hand, while a wearable sensor is good at recognizing foot timing and strength, it is not good at recognizing the movement of the whole body. Therefore we propose a hybrid recognition method utilizing the merits of both video and wearable sensor. This paper focuses to recognize four different types of steps in Latin American, a kind of ballroom dance. For each step, we record wearable sensing data and videos. As a result, it is found that the accuracy of step recognition is improved by adding wearable sensing data to video data shot from two different angles.

    DOI: 10.1109/ICIEV.2019.8858524

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  96. Road Surface Condition Inspection Using a Laser Scanner Mounted on an Autonomous Driving Car Reviewed

    Kenta Urano, Kei Hiroi, Shinpei Kato, Nozomi Komagata, Nobuo Kawaguchi

    PerVehicle 2019   Vol. - ( - ) page: 826 - 831   2019.3

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  97. End-to-end walking speed estimation method for smartphone PDR using DualCNN-LSTM

    Kawaguchi N, Nozaki J, Yoshida T, Hiroi K, Yonezawa T, Kaji K

    CEUR Workshop Proceedings   Vol. 2498   page: 463 - 470   2019

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    Most of the current inertial positioning systems can be categorized as the strapdown algorithm and the step-and-heading approach. However, for the strapdown algorithm using smartphone as a sensor device, the accuracy of the current MEMS based accelerometer are not enough for estimating relative movement. Also, for the step-and-heading approach, robust estimation of step length is always difficult. In this paper, we propose an end-to-end walking speed estimation method using Deep Learning to overcome these problems. By using our method, we can achieve a smartphone PDR with higher accuracy and better robustness to gait type.

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  98. Sampling Rate Dependency in Pedestrian Walking Speed Estimation Using DualCNN-LSTM

    Yoshida Takuto, Nozaki Junto, Urano Kenta, Hiroi Kei, Kaji Katsuhiko, Yonezawa Takuro, Kawaguchi Nobuo

    UBICOMP/ISWC'19 ADJUNCT: PROCEEDINGS OF THE 2019 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2019 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS     page: 862-868   2019

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    DOI: 10.1145/3341162.3343765

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  99. A Smartphone 3D Positioning Method using a Spinning Magnet Marker. Reviewed

    Kosuke Watanabe, Kei Hiroi, Takeshi Kamiyama, Hiroyuki Sano, Masakatsu Tsukamoto, Masaji Katagiri, Daizo Ikeda, Katsuhiko Kaji, Nobuo Kawaguchi

    JIP   Vol. 27 ( 0 ) page: 10 - 24   2019

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    <p>In recent years, the importance of location information has increased due to the popularization of terminals such as smartphones. Our purpose is to estimate the 3D position of smartphones within several centimeters. This location information can reveal a person's behavior patterns and subject of interest. A method based on dynamic magnetism can estimate the 3D position of a terminal within several centimeters, and it is robust against the environment. However, since the performance of the smartphone's magnetic sensor is limited, this method cannot be used in smartphones. In this research, we propose a smartphone 3D positioning method using a Spinning Magnet Marker (SMM) that spins a powerful neodymium magnet with a motor. Magnetoquasistatic field generated by an SMM is detected by a magnetic sensor mounted on a smartphone, and the 3D position of a smartphone based on the SMM is estimated from the magnetism. We developed an SMM with a stepper motor to improve estimation accuracy. In addition, we studied the magnetism generated by an SMM and derive equations to estimate the 3D position of a smartphone. Furthermore, we improved the estimation accuracy and expanded coverage by introducing a noise reduction method. We evaluate the estimation accuracy of the proposed method. When the azimuth angle is 0<sup>°</sup>, the elevation angle is 0<sup>°</sup>, and the distance is 3m, the azimuth angle is estimated with a mean error of 1<sup>°</sup>, the elevation angle is estimated with a mean error of 4<sup>°</sup>, and the distance is estimated with a mean error of 9cm.</p>

    DOI: 10.2197/ipsjjip.27.10

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  100. Ballroom Dance Step Type Recognition by Random Forest Using Video and Wearable Sensor

    Matsuyama Hitoshi, Hiroi Kei, Kaji Katsuhiko, Yonezawa Takuro, Kawaguchi Nobuo

    UBICOMP/ISWC'19 ADJUNCT: PROCEEDINGS OF THE 2019 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2019 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS     page: 774-780   2019

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    DOI: 10.1145/3341162.3344852

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  101. Editor's Message to Special Issue of Pervasive System and Intelligent Transportation Systems for Future Life. Reviewed

    Nobuo Kawaguchi

    JIP   Vol. 27 ( 0 ) page: 1 - 1   2019

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    DOI: 10.2197/ipsjjip.27.1

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  102. Flood Area Estimation using Personal Location Data - Case Study of Japan Floods in 2018-

    Hiroi Kei, Yoshida Takahiro, Yamagata Yoshiki, Kawaguchi Nobuo

    2019 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS)     page: 285-291   2019

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  103. 配布型BLEタグとタンデムスキャナを用いた屋内位置推定手法 Reviewed

    浦野健太, 廣井慧, 梶克彦, 河口信夫

    情報処理学会論文誌   Vol. 60   page: 58 - 75   2019

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  104. Road Surface Condition Inspection Using a Laser Scanner Mounted on an Autonomous Driving Car. Reviewed

    Kenta Urano, Kei Hiroi, Shinpei Kato, Nozomi Komagata, Nobuo Kawaguchi

    IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, Kyoto, Japan, March 11-15, 2019     page: 826 - 831   2019

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    DOI: 10.1109/PERCOMW.2019.8730820

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  105. Gait Dependency of Smartphone Walking Speed Estimation using Deep Learning. Reviewed

    Takuto Yoshida, Junto Nozaki, Kenta Urano, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

    Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019.     page: 641 - 642   2019

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    DOI: 10.1145/3307334.3328667

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  106. Hybrid Activity Recognition for Ballroom Dance Exercise using Video and Wearable Sensor

    Matsuyama Hitoshi, Hiroi Kei, Kaji Katsuhiko, Yonezawa Takuro, Kawaguchi Nobuo

    2019 JOINT 8TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) AND 2019 3RD INTERNATIONAL CONFERENCE ON IMAGING, VISION & PATTERN RECOGNITION (ICIVPR) WITH INTERNATIONAL CONFERENCE ON ACTIVITY AND BEHAVIOR COMPUTING (ABC)     page: 112 - 117   2019

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  107. Road Surface Condition Inspection Using a Laser Scanner Mounted on an Autonomous Driving Car

    Urano Kenta, Hiroi Kei, Kato Shinpei, Komagata Nozomi, Kawaguchi Nobuo

    2019 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS)     page: 826 - 831   2019

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  108. Compensation Scheme for PDR Using Component-Wise Error Models. Reviewed

    Junto Nozaki, Kei Hiroi, Katsuhiko Kaji, Nobuo Kawaguchi

    Human Activity Sensing - Corpus and Applications     page: 29 - 46   2019

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    DOI: 10.1007/978-3-030-13001-5_3

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  109. A Smartphone Short-Range Path Estimation with Hyperbolic Function for Spinning Magnet Marker. Reviewed

    Kosuke Watanabe, Nobuo Kawaguchi

    IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, Kyoto, Japan, March 11-15, 2019     page: 459 - 460   2019

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    DOI: 10.1109/PERCOMW.2019.8730728

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  110. An End-to-End BLE Indoor Location Estimation Method Using LSTM

    Urano Kenta, Hiroi Kei, Yonezawa Takuro, Kawaguchi Nobuo

    2019 TWELFTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU)     2019

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  111. Basic Study of BLE Indoor Localization using LSTM-based Neural Network. Reviewed

    Kenta Urano, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

    Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019.     page: 558 - 559   2019

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    DOI: 10.1145/3307334.3328624

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  112. Capturing Subjective Time as Context and It's Applications. Reviewed

    Takuro Yonezawa, Yuuki Nishiyama, Kei Hiroi, Nobuo Kawaguchi

    Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019.     page: 647 - 648   2019

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    DOI: 10.1145/3307334.3328719

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  113. End-to-end walking speed estimation method for smartphone PDR using DualCNN-LSTM

    Kawaguchi N., Nozaki J., Yoshida T., Hiroi K., Yonezawa T., Kaji K.

    CEUR Workshop Proceedings   Vol. 2498   page: 463 - 470   2019

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    Most of the current inertial positioning systems can be categorized as the strapdown algorithm and the step-and-heading approach. However, for the strapdown algorithm using smartphone as a sensor device, the accuracy of the current MEMS based accelerometer are not enough for estimating relative movement. Also, for the step-and-heading approach, robust estimation of step length is always difficult. In this paper, we propose an end-to-end walking speed estimation method using Deep Learning to overcome these problems. By using our method, we can achieve a smartphone PDR with higher accuracy and better robustness to gait type.

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  114. Human Activity Sensing Corpus and Applications Preface

    Kawaguchi Nobuo, Nishio Nobuhiko, Roggen Daniel, Inoue Sozo, Pirttikangas Susanna, Van Laerhoven Kristof

    HUMAN ACTIVITY SENSING: CORPUS AND APPLICATIONS     page: V - V   2019

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  115. An End-to-End BLE Indoor Location Estimation Method Using LSTM

    Urano Kenta, Hiroi Kei, Yonezawa Takuro, Kawaguchi Nobuo

    2019 TWELFTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU)     2019

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  116. A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles

    Narksri Patiphon, Takeuchi Eijiro, Ninomiya Yoshiki, Morales Yoichi, Akai Naoki, Kawaguchi Nobuo

    2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)     page: 497-504   2018

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  117. Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge

    Yuki Yuta, Nozaki Junto, Hiroi Kei, Kaji Katsuhiko, Kawaguchi Nobuo

    PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT)     page: 1643-1651   2018

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    DOI: 10.1145/3267305.3267533

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  118. IMAGE TRANSLATION BETWEEN SAR AND OPTICAL IMAGERY WITH GENERATIVE ADVERSARIAL NETS

    Enomoto Kenji, Sakurada Ken, Wang Weiming, Kawaguchi Nobuo, Matsuoka Masashi, Nakamura Ryosuke

    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM     page: 1752-1755   2018

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  119. Image-Matching Based Identification of Store Signage Using Web-Crawled Information

    Liao Chenyi, Wang Weimin, Sakurada Ken, Kawaguchi Nobuo

    IEEE ACCESS   Vol. 6   page: 45590-45605   2018

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    DOI: 10.1109/ACCESS.2018.2865490

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  120. Short Segment Random Forest with Post Processing Using Label Constraint for SHL Recognition Challenge

    Matsuyama Hitoshi, Urano Kenta, Hiroi Kei, Kaji Katsuhiko, Kawaguchi Nobuo

    PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT)     page: 1636-1642   2018

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    DOI: 10.1145/3267305.3267532

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  121. A Smartphone Positioning Method Based on Spinning Magnet Marker Reviewed

    武島知勲, 梶克彦, 廣井慧, 河口信夫, 神山剛, 太田賢, 稲村浩

    情報処理学会論文誌ジャーナル(Web)   Vol. 59 ( 1 ) page: 138 - 149   2018

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  122. Image Translation Between Sar and Optical Imagery with Generative Adversarial Nets. Reviewed

    Kenji Enomoto, Ken Sakurada, Weiming Wang, Nobuo Kawaguchi, Masashi Matsuoka, Ryosuke Nakamura

    2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018   Vol. 2018-July   page: 1752 - 1755   2018

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    DOI: 10.1109/IGARSS.2018.8518719

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  123. Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera. Reviewed

    Shinya Sumikura, Ken Sakurada, Nobuo Kawaguchi, Ryosuke Nakamura

    CoRR   Vol. abs/1810.11856   2018

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  124. 仮想空間を利用した空間認識能力の計測手法の提案 Reviewed

    嶋田光佑, 廣井慧, 梶克彦, 河口信夫

    情報処理学会論文誌   Vol. 59 ( 1 ) page: 150 - 167   2018

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  125. Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard

    Wang Weimin, Sakurada Ken, Kawaguchi Nobuo

    REMOTE SENSING   Vol. 9 ( 8 )   2017.8

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    DOI: 10.3390/rs9080851

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  126. FloodEye: Real-time flash flood prediction system for urban complex water flow

    Hiroi K., Kawaguchi N.

    Proceedings of IEEE Sensors     2017.1

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    This study presents a water-level sensor system that has multiple functions: real-time river-level monitoring and high accurate flood prediction for urban complex water flow (CWF) flooding caused by Localized Heavy Rain. Traditional water-level sensors for large-scale river can detect water-level rising, though they have limitations in detecting urban river dyke height to alert about flooding. This is a result of various riverside environmental limitations. Additionally, previous prediction methods are difficult to detect CWF flooding with high accuracy because water rising differ depends on a location's environment. Therefore, we propose a detection scheme for CWF by developing a water-level sensor system that works in various installation environments using infrared image processing with both low installation and operation cost. We implemented a CWF prediction system that produces accurate and early predictions using a Linear Regression (LR) of deep learning approach with data assimilation. Evaluating based on actual installations (over 1,000 days, 13 locations), our system proved to accurately monitor and predict water-level rising after 5 minutes.

    DOI: 10.1109/ICSENS.2016.7808626

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  127. Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets

    Enomoto Kenji, Sakurada Ken, Wang Weimin, Fukui Hiroshi, Matsuoka Masashi, Nakamura Ryosuke, Kawaguchi Nobuo

    2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW)     page: 1533-1541   2017

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    DOI: 10.1109/CVPRW.2017.197

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  128. 5th Int. Workshop on Human Activity Sensing Corpus and Applications (HASCA): Towards Open-Ended Context Awareness

    Kawaguchi Nobuo, Inoue Sozo, Nishio Nobuhiko, Pirttikangas Susanna, Roggen Daniel, Van Laerhoven Kristof

    PROCEEDINGS OF THE 2017 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC '17 ADJUNCT)     page: 530-536   2017

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    DOI: 10.1145/3123024.3124410

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  129. A Location Estimation Method using Mobile BLE Tags with Tandem Scanners

    Urano Kenta, Hiroi Kei, Kaji Katsuhiko, Kawaguchi Nobuo

    PROCEEDINGS OF THE 2017 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC '17 ADJUNCT)     page: 577-586   2017

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    DOI: 10.1145/3123024.3124405

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  130. Compensation Scheme for PDR using Sparse Location and Error Model

    Nozaki Junto, Hiroi Kei, Kaji Katsuhiko, Kawaguchi Nobuo

    PROCEEDINGS OF THE 2017 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC '17 ADJUNCT)     page: 587-596   2017

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    DOI: 10.1145/3123024.3124406

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  131. Event.Locky: System of event-data extraction from webpages based onweb mining Reviewed

    Chenyi Liao, Kei Hiroi, Katsuhiko Kaji, Ken Sakurada, Nobuo Kawaguchi

    Journal of Information Processing   Vol. 25 ( 0 ) page: 321 - 330   2017

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    Nearby event data, such as those for exhibitions and sales promotions, may help users spend their free time more efficiently. However, most event data are hidden in millions of webpages, which is very time-consuming for a user to find such data. To address this issue, we use web mining that extracts event data from webpages. In this paper, we propose and discuss the implementation of Event.Locky – a system for extracting event data from webpages in a user-defined area and displaying them to a user in a spatial-temporal structure. Furthermore, we design two core algorithms for event data extraction in Event.Locky: webpage-data-record extraction and event-record classification. The former is used to convert a semi-structural HTML document into processable structured data. The latter filters out non-event data from extracted data records using machine learning. We trained and evaluated Event.Locky with an actual dataset composed by 96 restaurants and shops at Nagoya train station. As a result, our event-classification algorithm achieved an F1 score of 91.61%, an increase of 3.07% from current event-classification algorithms. The combination of our event-classification algorithm and our data-record-extraction algorithm achieved F1 score 83.96% to extract event records from webpages. That increased 1.6% from current algorithm. Finally, we discuss the feasibility of Event.Locky in an actual online environment through the implementation of a demonstration application.

    DOI: 10.2197/ipsjjip.25.321

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  132. 通路に設置した回転する磁石による歩行者の通過検出手法 Reviewed

    武島知勲, 梶克彦, 廣井慧, 河口信夫, 神山剛, 太田賢, 稲村浩

    情報処理学会論文誌   Vol. 58 ( 1 ) page: 43 - 56   2017

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  133. Pedestrian Indoor Positioning Method Using Magnetic Data Reviewed

    村田雄哉, 梶克彦, 廣井慧, 河口信夫, 神山剛, 太田賢, 稲村浩

    情報処理学会論文誌ジャーナル(Web)   Vol. 58 ( 1 ) page: 57 - 67   2017

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  134. Dense Optical Flow based Change Detection Network Robust to Difference of Camera Viewpoints. Reviewed

    Ken Sakurada, Weimin Wang, Nobuo Kawaguchi, Ryosuke Nakamura

    CoRR   Vol. abs/1712.02941   2017

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  135. A three-dimensional smartphone positioning method using a spinning magnet marker. Reviewed

    Kosuke Watanabe, Kei Hiroi, Takeshi Kamiyama, Hiroyuki Sano, Masakatsu Tsukamoto, Masaji Katagiri, Daizo Ikeda, Katsuhiko Kaji, Nobuo Kawaguchi

    Tenth International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017, Toyama, Japan, October 3-5, 2017   Vol. 2018-January   page: 1 - 7   2017

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    DOI: 10.23919/ICMU.2017.8330076

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  136. A Three-Dimensional Smartphone Positioning Method using a Spinning Magnet Marker

    Watanabe Kosuke, Hiroi Kei, Kamiyama Takeshi, Sano Hiroyuki, Tsukamoto Masakatsu, Katagiri Masaji, Ikeda Daizo, Kaji Katsuhiko, Kawaguchi Nobuo

    2017 TENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU)     page: 38 - 44   2017

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  137. 「究極のヒューマンインタフェースの実現を目指して」

    河口 信夫

    知能と情報   Vol. 28 ( 6 ) page: 169 - 169   2016.12

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    DOI: 10.3156/jsoft.28.6_169

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  138. Wi-Fi Human Behavior Analysis and BLE Tag Localization: A Case Study at an Underground Shopping Mall Reviewed

    Nobuo Kawaguchi, Kei Hiroi, Atsushi Shionozaki, Masamichi Asukai, Toshimune Nasu, Yu Hashimoto, Takeharu Nakamura, Tetsuya Gotou, Shinsuke Ando

    ACM International Conference Proceeding Series   Vol. 28-   page: 151 - 159   2016.11

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    Techniques for obtaining customers' behavior (dwell time, count, and flow) in a shopping mall or large exhibit are highly sought-after by organizers or shop owners. Additionally, ways of effectively directing customers from cyber space such as the Web or smartphone apps to physical retail stores are also in high demand. "Online to Offline (O2O) Marketing" has recently been attracting attention to make these a reality. However, the know-how accumulated through "O2O Marketing" is not shared widely as it can be sensitive for business and customer's privacy. In this paper, we provide the knowledge obtained through the demonstration experiments held by the "O2O Digital Marketing Study Group" organized by NPO Lisra at a large underground shopping mall in Nagoya. 250 BLE tags and 12 Wi-Fi scanners were installed in this mall. We also organized a "coupon campaign" to increase the number of participants. We were able to effectively collect visiting customer count measurements via Wi-Fi scanners irrespective of the anonymization of BSSID, as our results showed similar trends collected by optical human detectors inherently installed at the venue. This paper provides preliminary insight into understanding the behaviors of retail shoppers and we believe this is a firm starting point for this area.

    DOI: 10.1145/2994374.2994403

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  139. PIEM: Path Independent Evaluation Metric for Relative Localization Reviewed

    Masaaki Abe, Katsuhiko Kaji, Kei Hiroi, Nobuo Kawaguchi

    2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016     page: 1 - 8   2016.11

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    There are many methods for indoor positioning. These methods are divided into the relative localization and absolute localization. In the relative localization, one widely used method is Pedestrian Dead Reckoning (PDR). Relative localization estimates the moving distance, orientation, and height of the pedestrian. However, relative localization has a problem caused by an accumulated error: the longer the path, the worse the accuracy of relative localization. There is another problem in the existing evaluating metrics: they compare only the actual location and the estimated location of the destination. Relative localization also has this evaluation problem. We propose PIEM: Path Independent Evaluation Metric for Relative Localization. PIEM is a path independent evaluation metric, considering the complexity of the path
    distance, orientation, and height. Then we evaluate these three factors of relative localization in addition to the position. Our proposed method showed more consistent results for the complexity of the path than the existing methods of relative localization evaluation.

    DOI: 10.1109/IPIN.2016.7743587

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  140. Incremental and Enhanced Scanline-Based Segmentation Method for Surface Reconstruction of Sparse LiDAR Data

    Wang Weimin, Sakurada Ken, Kawaguchi Nobuo

    REMOTE SENSING   Vol. 8 ( 11 )   2016.11

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    DOI: 10.3390/rs8110967

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  141. Urban planning: Is a networked compact city vision realistic?

    Kawaguchi N.

    Labor Forces and Landscape Management: Japanese Case Studies     page: 373-380   2016.1

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    DOI: 10.1007/978-981-10-2278-4_18

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  142. Estimating 3D Pedestrian Trajectories using Stability of Sensing Signal

    Kaji Katsuhiko, Kawaguchi Nobuo

    2016 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN)     page: .   2016

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  143. UbiComp/ISWC 2015 PDR challenge corpus Reviewed

    Katsuhiko Kaji, Masaaki Abe, Weimin Wang, Kei Hiroi, Nobuo Kawaguchi

    UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing     page: 696 - 704   2016

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    PDR (Pedestrian Dead Reckoning) is a very promising technology for indoor positioning. We held a technical challenge, entitled the UbiComp/ISWC 2015 PDR Challenge, consisting of the following three categories: Algorithm, Evaluation, and Exhibition. In this paper, we specially focus on collected data for PDR algorithm category. UbiComp/ISWC participants equip smartphone by hand and walk around the particular floors. The pedestrian sensing data is collected. The number of our prepared route pattern is 5. Over two days, we collected the sensing data of 105 subjects. The total number of collected pedestrian sensing data was 343. After removing faulty data, this number was 241 and the number of unique subjects was 103. Sensor types are accelerometer, gyro, magnetic, and air pressure. We, PDR Challenge organizers, provide the corpus as UbiComp/ISWC 2015 PDR Challenge Corpus. The corpus contains ground truth of 3-D coordinates of the pedestrian sensing data for each second.

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  144. 4th workshop on human activity sensing corpus and applications: Towards open-ended context awareness Reviewed

    Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven

    UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing     page: 690 - 695   2016

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    Current motion sensors in wearable devices are primarily used for simple orientation and motion sensing. They provide however signals related to more complex and subtle human behaviours which will enable next-generation human-oriented computing in scenarios of high societal value. This requires large scale human activity corpuses and improved methods to recognise activities and their context. This workshop deals with the challenges of designing reproducible experimental setups, running large-scale dataset collection campaigns, designing robust activity and context recognition methods and evaluating systems in the real world. As a special topic, we wish to reflect on the challenges and approaches to recognise activities outside of a pre-defined set to achieve an open-ended activity and context awareness. Following the success of previous years, this workshop is the place to share experiences on human activity corpus and their applications and to discuss the future of activity sensing, in particular towards open-ended contextual intelligence.

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  145. A better positioning with BLE tag by rssi compensation through crowd density estimation Reviewed

    Kei Hiroi, Yoichi Shinoda, Nobuo Kawaguchi

    UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing     page: 831 - 840   2016

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    We present a scheme that improves accuracy of 2.4GHz RF tag based indoor positioning. The accuracy of indoor positioning using 2.4GHz RF tags is affected by propagation loss caused by human body shielding, especially in crowded situations. This paper proposes a RSSI compensation scheme that estimate a crowd density level based on detected 2.4 GHz RSSI. We developed a scanner system to sense BLE (Bluetooth Low Energy) tag for 2.4 GHz RSSI compensation. We deployed 40 BLE scanners and over 100 BLE tags, and collected data for 100 participants at an actual event over a period of four days. Using the collected data, we estimated crowd density level that can be applied to the proposed compensation scheme based on theoretical methods on propagation loss. Our scheme resulted in 59.8% higher accuracy than simple positioning method without the compensation.

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  146. A Location Estimation Method using BLE Tags Distributed Among Participants of a Large-Scale Exhibition Reviewed

    Kenta Urano, Kei Hiroi, Katsuhiko Kaji, Nobuo Kawaguchi

    ADJUNCT PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING NETWORKING AND SERVICES (MOBIQUITOUS 2016)   Vol. 28-November-2016   page: 124 - 129   2016

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    Indoor location estimation is essential technology when we analyse the participants' activities in large-scale exhibition. There are some problems with existing methods such as PDR, ultrasound and laser range finder: installation location of measurement equipment at large site, cost for measurement equipment, and necessity of smartphone application. We focus on Bluetooth Low Energy(BLE). Currently, BLE technology is used as proximity notification for smart phones and cannot detect the exact distance between two BLE devices. This is because BLE radiowave is unstable and signal strength changes every time at the same distance. In this paper, we propose a location estimation method which utilizes BLE beacon tags and single board computers. In contrast to conventional ways using location-fixed BLE beacons, BLE beacon tags are distributed to participants at the event. Signal strengths of BLE advertising packets captured by multiple location-fixed scanners are used for location estimation. The method requires less cost for equipment and labor of installing an application. It can be used without complex initial setting. We had a data collection experiment at real large-scale exhibition. We estimate locations of participants by applying the proposed method to the collected data, then evaluate accuracy of estimation and analyse the activities such as the time of longer stay booths based on participants' occupation. As a result, we could track the movement of the participants to some meters error and find the characteristic booths based on longer-stay booths per occupations.

    DOI: 10.1145/3004010.3004051

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  147. FloodEye: Real-time Flash Flood Prediction System for Urban Complex Water Flow

    Hiroi Kei, Kawaguchi Nobuo

    2016 IEEE SENSORS     page: .   2016

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  148. HASC-PAC2016: Large scale human pedestrian activity corpus and its baseline recognition Reviewed

    Haruyuki Ichino, Katsuhiko Kaji, Ken Sakurada, Kei Hiroi, Nobuo Kawaguchi

    UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing     page: 705 - 714   2016

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    Human activity recognition by wearable sensors will enable a next-generation human-oriented ubiquitous computing. However, most of the existing research on human activity recognition is based on a small number of subjects, and lab-created-data. To overcome this problem, we hold HASC Challenge as a technical challenge to collect the data for activity recognition. In addition to HASC Challenge, we collected indoor pedestrian sensing data of 107 people with a balance of gender and age (HASC-IPSC). Through these data collection, we gathered 111,968 sensor files of 510 subjects. For the convenience of the future researchers in this field, we combined them as a single corpus named HASC-PAC2016 and make it public. Baseline recognition result of HASC-PAC2016 segmented data is 73.4% accuracy for overall, 81.4% for limited by terminal position, and 85.1% with file-based recognition. For sequence data, we only get 73.4% even for limited subjects. This shows we need further research of activity recognition using HASC-PAC2016.

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  149. Measurement Methods of Spatial Ability using a Virtual Reality System

    Shimada Kosuke, Hiroi Kei, Kawaguchi Nobuo, Kaji Katsuhiko

    2016 NINTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORKING (ICMU)     page: 80-85   2016

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  150. Multi-Algorithm On-Site Evaluation System for PDR Challenge

    Kaji Katsuhiko, Kanagu Kohei, Murao Kazuya, Nishio Nobuhiko, Urano Kenta, Iida Hirokazu, Kawaguchi Nobuo

    2016 NINTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORKING (ICMU)     page: 74-79   2016

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  151. 安定センシング区間検出に基づく3次元歩行軌跡推定手法 Reviewed

    梶克彦, 河口信夫

    情報処理学会論文誌   Vol. 57 ( 1 ) page: 12 - 24   2016

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  152. FloodEye: Real-time Flash Flood Prediction System for Urban Complex Water Flow Reviewed

    Kei Hiroi, Nobuo Kawaguchi

    2016 IEEE SENSORS     2016

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    This study presents a water-level sensor system that has multiple functions: real-time river-level monitoring and high accurate flood prediction for urban complex water flow (CWF) flooding caused by Localized Heavy Rain. Traditional water-level sensors for large-scale river can detect water-level rising, though they have limitations in detecting urban river dyke height to alert about flooding. This is a result of various riverside environmental limitations. Additionally, previous prediction methods are difficult to detect CWF flooding with high accuracy because water rising differ depends on a location's environment. Therefore, we propose a detection scheme for CWF by developing a water-level sensor system that works in various installation environments using infrared image processing with both low installation and operation cost. We implemented a CWF prediction system that produces accurate and early predictions using a Linear Regression (LR) of deep learning approach with data assimilation. Evaluating based on actual installations (over 1,000 days, 13 locations), our system proved to accurately monitor and predict water-level rising after 5 minutes.

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  153. Multi-Algorithm On-Site Evaluation System for PDR Challenge Reviewed

    Katsuhiko Kaji, Kohei Kanagu, Kazuya Murao, Nobuhiko Nishio, Kenta Urano, Hirokazu Iida, Nobuo Kawaguchi

    2016 NINTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORKING (ICMU)     page: 74 - 79   2016

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    PDR (Pedestrian Dead Reckoning) is a very promising technology for indoor positioning. We held a technical challenge, entitled the UbiComp/ISWC 2015 PDR Challenge, consisting of the following three categories: a PDR algorithm category; a PDR Evaluation method category; and an exhibition. In this paper, we especially focus on several systems for the PDR algorithm category. A PDR skeleton was prepared for the participants. Using an Android skeleton, participants focus on implementing the PDR algorithm because of the skeleton's various functions, such as sensor data acquisition, trajectory visualization, and sensor data upload. The evaluation server evaluates the accuracy of each PDR algorithm automatically as often as sensor data is uploaded to the server and provides a trajectory image file so that participants can compare their PDR algorithms in real time.

    DOI: 10.1109/ICMU.2016.7742094

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  154. Proceedings of the 7th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2015: Foreword

    Li K.

    Proceedings of the 7th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2015     page: .   2015.11

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  155. A proposal of IndoorGML extended data model for pedestrian-oriented voice navigation system Reviewed

    Hirokazu Iida, Kei Hiroi, Katsuhiko Kaji, Nobuo Kawaguchi

    Proceedings of the 7th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2015     page: 9 - 14   2015.11

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    We propose Landmark-Conscious Voice Navigation as one type of a pedestrian navigation system, which navigate users by only voice guidance. It is necessary to standardize data model in order to use this system widely. In a previous paper[1], we constructed a basic voice navigation system, which uses Open Street Map based data model. In this paper, at first, we conduct an experiment of voice navigation at an underground shopping area of Nagoya Station with two types of landmark descriptions. After that, we discuss what data structure is necessary to describe landmark information for voice navigation. Therefore, we propose to extend IndoorGML1.0 by adding landmark space as a new defined data model for voice navigation. The main contribution of this paper is that we conduct an experiment of voice navigation and research how different landmark descriptions affect users
    furthermore, we discuss a IndoorGML extended data model for voice navigation.

    DOI: 10.1145/2834812.2834814

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  156. Velobug: A mobile system for 3D indoor mapping Reviewed

    Weimin Wang, Katsuhiko Kaji, Kenji Yamakawa, Nobuo Kawaguchi, Kei Hiroi

    UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers     page: 337 - 340   2015.9

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    In this work, we implement a mobile system called Velobug to measures 3D data of the environment. Velobug could generate dense and colored point cloud to reconstruct the environment for 3D mapping with long effective range. Velobug is mainly consisted of a Velodyne HDL-32e LiDAR senor and a Point Grey Research Ladybug3 panoramic camera. The LiDAR sensor is utilized to acquire 3D data of the environment and generate point cloud. Pictures captured by the panoramic camera are used for complementing RGB information of the point cloud after the calibration between the panoramic camera and the LiDAR sensor. We could maker point cloud denser by registering multiple frames of point cloud with Generalized Iterative Closet Point(Generalized-ICP) method. We evaluate Velobug in an underground shopping street near Nagoya Station. The experiment result shows the mobility, practicability and efficiency in reconstruction for 3D indoor mapping.

    DOI: 10.1145/2800835.2800878

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  157. Design and implementation of algorithm for estimation of elevator travel distance using smartphone accelerometer Reviewed

    Antonio Martinez, Kei Hiroi, Nobuo Kawaguchi

    UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers     page: 1489 - 1498   2015.9

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    Since the advent of smartphones equipped with sophisticated sensing hardware, human activity recognition research has moved from utilizing dedicated sensing devices to using commercial smartphones. This paper presents the design of an algorithm to recognize and estimate travel distance when riding an elevator and its corresponding implementation within an app for a smartphone running Apple's mobile operating system (iOS). The algorithm receives solely the signal of the smartphone's accelerometer, recognizes that it belongs to an elevator ride, and proceeds to calculate the distance traveled by the rider. The algorithm has been designed in a way that simplifies the necessary operations to calculate the travel distance with the objective of minimizing processing power, while keeping the corresponding estimations highly accurate. This is an initial attempt towards the building of a robust, but simple and fast, real-time human activity recognition service on a wearable platform.

    DOI: 10.1145/2800835.2801620

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  158. Pedestrian Dead-Reckoning as a Basic Technology of Indoor Positioning

      Vol. 56 ( 9 ) page: 855-857   2015.9

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  159. スマートステーションなごや:次世代屋内位置情報サービスの研究開発

    河口 信夫, 坂 涼司, 一円 真治, 飯田 啓量, 山川 健司, 廣井 慧, 梶 克彦

    情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム]   Vol. 2015 ( 4 ) page: 1-7   2015.5

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    大規模駅周辺は複雑な立体構造を構成しており,店舗や構造の情報が集約されていないため,利用者のプロファイルや目的に応じた情報提供が適切になされていない.そこで,ICT を活用し大規模駅において利用者の多様な状況に対応し,適切な店舗や経路の推薦やナビゲーションを行う総合的な情報提供・屋内案内サービスを実現する.また,利用者の利便性を向上させると同時に,駅関連事業者との適切な情報流通を実現し,地域社会の活性化を促進する.特に,東京や大阪と並んで複雑な構造をしている名古屋駅周辺を対象とし,次世代位置情報サービスを提供するスマートステーション化することを目指す.本研究は,1.無線 LAN・磁気・PDR を統合した屋内位置推定,2.音声に基づいて経路案内を行うナビゲーションシステム,3.目的志向の店舗推薦システム,4.店舗情報の継続的更新を可能にするクラウドソーシングシステムといった 4 つのサブテーマから構成される.

  160. A Proportion of Event Data Extraction based on HTML Structure Analysis and Machine Learning

      Vol. 2015 ( 13 ) page: 1-7   2015.5

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  161. UbiComp2015チャレンジ

    河口 信夫

    情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム]   Vol. 2015 ( 58 ) page: .   2015.2

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  162. UbiComp2015チャレンジ

    河口 信夫

    情報処理学会研究報告. MBL, [モバイルコンピューティングとユビキタス通信研究会研究報告]   Vol. 2015 ( 58 ) page: .   2015.2

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  163. Pedestrian Route Estimation Method using Magnetic Data

    MURATA Yuya, KAJI Katsuhiko, HIROI Kei, KAWAGUCHI Nobuo, KAMIYAMA Takeshi, OHTA Ken, INAMURA Hiroshi

    IEICE technical report. ASN, Ambient intelligence and sensor networks   Vol. 114 ( 418 ) page: 61-66   2015.1

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    Because GPS has poor accuracy indoors, indoor positioning method is required. In this research, we propose pedestrian route estimation method using magnetic. The route is limited in indoor environment and every route has different magnetic. We walk the route and collect the magnetic, and utilize them for route estimation. As estimation method, we adopt particle filter. We estimate the route by comparing candidate route data and observed data by particle filter. We evaluate this method in real environment. The result shows that the route is estimated in high accuracy better than 97% as far as there are few candidates.

  164. Indoor Positioning Method Integrating Pedestrian Dead Reckoning with Magnetic Field and WiFi Fingerprints

    Ban Ryoji, Kaji Katsuhiko, Hiroi Kei, Kawaguchi Nobuo

    2015 EIGHTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORKING (ICMU)     page: 167 - 172   2015

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  165. An Event Data Extraction Method Based on HTML Structure Analysis and Machine Learning Reviewed

    Chenyi Liao, Kei Hiroi, Katsuhiko Kaji, Nobuo Kawaguchi

    IEEE 39TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC 2015), VOL 3   Vol. 3   page: 217 - 222   2015

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    This paper proposes an event data extraction method that extracts business event data, such as coupons, tickets, sales campaigns, etc., from a homepage or blog of shops and pushes them to users. Users no longer need to browse their favorite shops' homepage one by one. The method supports comprehensiveness and effectiveness for event data obtainment. This proposition works into two tasks: web page block segmentation and event data identification. The first task segments the web page into blocks. Each of the blocks includes information, such as title, notification, date, etc. relating to event information. Many related works suppose web page block segmentation based on specific tags, vision, function, etc. In this research, we propose a web page block segmentation method based on HTML document structure analysis. The second task is used to identity event data from segmented blocks. We propose a method to implement event data identification based on machine learning. We show the results of a verification experiment. Experimental data are from 96 shops located in two underground shopping streets UNIMALL and ESCA, at a train station in the city of Nagoya (Japan). Because the event data identification depends on the Japanese language, this method is available for all the Japanese home page.

    DOI: 10.1109/COMPSAC.2015.235

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  166. A pedestrian passage detection method by using spinning magnets on corridors. Reviewed

    Chihiro Takeshima, Katsuhiko Kaji, Kei Hiroi, Nobuo Kawaguchi, Takeshi Kamiyama, Ken Ohta, Hiroshi Inamura

        page: 411 - 414   2015

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    DOI: 10.1145/2800835.2800940

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  167. A pedestrian passage detection method by using spinning magnets on corridors. Reviewed

    Chihiro Takeshima, Katsuhiko Kaji, Kei Hiroi, Nobuo Kawaguchi, Takeshi Kamiyama, Ken Ohta, Hiroshi Inamura

    Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, UbiComp/ISWC Adjunct 2015, Osaka, Japan, September 7-11, 2015     page: 411 - 414   2015

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    DOI: 10.1145/2800835.2800940

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  168. 浸水被害の画像を用いた市街地における浸水深の検出手法の提案

    廣井慧 , 河口信夫

    情報処理学会研究報告. HCI, ヒューマンコンピュータインタラクション研究会報告   Vol. 2014 ( 3 ) page: 1-6   2014.10

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    都市域での豪雨が起こす市街地の浸水被害を軽減するためには,浸水の発生箇所やその浸水深のような,浸水状況の情報提供が有効である.浸水状況を知ることで,道路上の危険箇所の歩行やアンダーパスでの車両の水没からの回避が可能になると考えられる.しかし,既存で用いられる水位計は定点観測用途が主であり,観測地点数が限られるため,観測点以外の浸水状況が把握できない.また,豪雨の発生時には浸水の様子を撮影した画像がインターネット上で多数共有されるが,浸水深を検出するためには量水板のように水位と比較可能な目安となる対象物が必要となるため,このような画像から浸水深を知ることが難しい.そこで,市街地における観測点以外の地点での浸水深の把握を目的に,インターネット上から収集した市街地の浸水の様子を撮影した画像を活用して,浸水深を検出する手法を提案する.本手法は,画像に写る人物の大きさと水位を比較し,人への影響に応じて膝以下,股下以下,胸部以下,胸部以上という分類で浸水深を推定することで,目安となる対象物を必要とせず,浸水深の検出を可能にする.提案手法を用いて,過去に市街地で発生した実際の浸水被害における浸水深を検出し,その結果を述べる.

  169. 安定歩行区間に基づく歩行軌跡推定手法

    梶克彦 , 河口信夫

    情報処理学会研究報告. HCI, ヒューマンコンピュータインタラクション研究会報告   Vol. 2014 ( 19 ) page: 1-8   2014.10

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    複数の歩行センシングデータを用いて建物構造を生成するためには,歩行センシングデータから歩行軌跡を正確に推定できなければならない.本稿では,右左折や蛇行を伴わない歩行が一定時間以上安定してセンシングできている区間を安定歩行区間と定義し,それに基づいて歩行軌跡を推定する手法を提案する.一般的に人は合理的に行動するため,安定歩行時には直線的な軌跡をたどると考えられる.また屋内の通路の多くは直線的である.よって,混雑した通路や複雑な形状の建物の歩行を除けば,移動の大半は直線的な歩行とみなせる.安定歩行区間の検出には角速度を用いる.検出された安定歩行区間を直線的な歩行とみなし,角速度に乗っているオフセット値を求め,ドリフトを除去する.また,多くの通路の曲がり角の角度が 90 度であるという建物知識を導入し,安定歩行区間同士が平行または垂直になるように歩行軌跡を修正する.さらに,安定歩行区間が一定以上の割合となる歩行センシングデータを,高精度の歩行軌跡推定が期待できる信頼性の高いデータみなす.屋内歩行センシングコーパス HASC-IPSC を用いて提案手法の評価実験を行い,歩行軌跡の推定手法と信頼性の高い歩行センシングデータの発見手法の双方で有効性を確認した.信頼性の高いデータに限定すれば,歩行軌跡末端における進行方向の誤差平均は約 7 度となり,90 度以上の大きな誤差になる割合は約 1 %となった.

  170. 自律型電源を用いた停電時に運用可能な市街地の浸水観測システムの提案 (ITS)

    廣井 慧, 仲倉 利浩, 落合 秀也, 井上 朋哉, 山形 与志樹, 河口 信夫

    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報   Vol. 114 ( 225 ) page: 5-11   2014.9

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    都市域で発生する豪雨は,市街地の浸水を招き,避難者の歩行困難やアンダーパスでの車両の水没等,道路交通に大きな被害を与える.特に中小河川や水路から溢れる水は,一般市町村道のような生活道路の浸水を招く.浸水の発生箇所や浸水深の情報提供は,歩行者や車両の被害軽減に有効であるため,生活道路での浸水の情報提供を実現を目指し,安価で簡易に構築可能な浸水観測ネットワークFloodEyeの開発と実環境での運用を行っている.しかし,豪雨や浸水被害が拡大すると,市街地では停電が発生することが多く,浸水観測やデータ提供の継続が難しい.そこで本研究は,被害拡大後も安定的に運用でき,生活道路の浸水被害軽減に活用できる浸水観測システムの開発を行う.本システムは,豪雨発生前に太陽光から蓄電した電力を活用し,停電時に観測とFloodEyeへのデータ伝送をする自律型電源機能をもつ.本システムを実環境に設置して,観測とデータ伝送を行い,連続した降雨日での電力消費量を計測した.この計測結果をもとに,同程度の降雨発生時に安定的な運用を実現するための効率的な電力使用の分析を行う.近傍の降水量や警報の発表状況から推定する被害拡大の可能性,観測結果からの浸水の発生状況を用いた,観測とデータ伝送の制御開始タイミングの決定と時間間隔の最適化の考察結果を述べる.

  171. 自律型電源を用いた停電時に運用可能な市街地の浸水観測システムの提案

    廣井慧 , 仲倉利浩 , 落合秀也 , 井上朋哉 , 山形与志樹 , 河口信夫

    情報処理学会研究報告. ITS, [高度交通システム]   Vol. 2014 ( 2 ) page: 1 - 7   2014.9

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    都市域で発生する豪雨は,市街地の浸水を招き,避難者の歩行困難やアンダーパスでの車両の水没等,道路交通に大きな被害を与える.特に中小河川や水路から溢れる水は,一般市町村道のような生活道路の浸水を招く.浸水の発生箇所や浸水深の情報提供は,歩行者や車両の被害軽減に有効であるため,生活道路での浸水の情報提供を実現を目指し,安価で簡易に構築可能な浸水観測ネットワーク FloodEye の開発と実環境での運用を行っている.しかし,豪雨や浸水被害が拡大すると,市街地では停電が発生することが多く,浸水観測やデータ提供の継続が難しい.そこで本研究は,被害拡大後も安定的に運用でき,生活道路の浸水被害軽減に活用できる浸水観測システムの開発を行う.本システムは,豪雨発生前に太陽光から蓄電した電力を活用し,停電時に観測と FloodEye へのデータ伝送をする自律型電源機能をもつ.本システムを実環境に設置して,観測とデータ伝送を行い,連続した降雨日での電力消費量を計測した.この計測結果をもとに,同程度の降雨発生時に安定的な運用を実現するための効率的な電力使用の分析を行う.近傍の降水量や警報の発表状況から推定する被害拡大の可能性,観測結果からの浸水の発生状況を用いた,観測とデータ伝送の制御開始タイミングの決定と時間間隔の最適化の考察結果を述べる.

  172. 屋内歩行センシングコーパスHASC-IPSC利用のすすめ

    梶克彦 , 渡辺穂高 , 坂涼司 , 河口信夫

    情報処理学会研究報告. MBL, [モバイルコンピューティングとユビキタス通信研究会研究報告]   Vol. 2014 ( 8 ) page: 1 - 2   2014.8

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    近年のモバイルコンピューティング分野で盛んな研究テーマとして,屋内位置推定や建物構造の自動推定が挙げられる.しかし,現在までにこれらの研究で共通して利用可能なデータは存在せず,新たな手法を提案しても,既存研究との精度の比較検討が困難であった.そこで我々は,屋内位置推定研究と建物構造推定研究を主なターゲットとした,屋内歩行センシングコーパス (HASC-IPSC) を構築した.このデータ収集対象環境として選定した建物は,名古屋大学 IB 電子情報館の北棟 (B1F-5F),中棟 (B1F-2F),南棟 (1F-3F) の 3 つの建物である.これらの建物は互いに隣接しており,中庭や地下通路を通じて行き来できる (図1).被験者は Android 端末 2 台 (Nexus 4,Garaxy S3) を装着して建物内の様々な経路を移動する.この際被験者には普段と同様の歩行を心がけてもらい,通路中央の歩行,ドアを自分自身で開ける,階段を 1 段ずつ昇降するよう指示している.センサデータ収集には HASC Logger を用いた.収集したセンサ情報は,加速度 (3 軸),角速度 (3 軸),地磁気 (3 軸),気圧,無線 LAN の計 5 種類である.無線 LAN のサンプリングレートは 1Hz,その他は 100Hz とした.経路移動のセンサデータに対して,右左折や階段昇降といった詳細な行動ラベルが人手により付与されている.移動開始・終了,右左折やドア通過,階段昇降の開始・終了などのイベントに対しては,その行動をした時刻,行動の種類,対応するノード ID がラベルとして付与されている.また,イベントとイベントの間の移動行動 (リンクに相当) に対しては,行動の開始・終了時刻,行動の種類 (歩行・階段昇降),移動距離がラベルとして付与される.行動距離は,階段等の上下移動を伴う移動の場合,水平方向の移動距離に加え,垂直方向の移動距離,階段の段数が記述される.ラベルデータから経路を可視化した例を図 2 に示す.また各歩行移動データには,スタート地点を原点とした 1 秒ごとの 3 次元座標の正解データも用意されている.このデータを利用して,各研究で提案された歩行者デッドレコニング手法の精度を検証可能である.また,建物全体の歩行空間ネットワーク構造 (図 3) も用意されており,複数の歩行センシングデータを統合して建物構造を自動推定する研究のリファレンスデータとして利用できる.主な統計情報を表 1 に示す.被験者総数は 107 名,延べ経路センシングデータ数は 452 である.経路の種類は 114 種類であり,このうち同一建物内移動経路を 56 種類,異なる建物間の移動経路を 58 種類である.これまでの HASC Corpus では,被験者の年齢・性別的な偏りがみられていた.年齢や性別の違いは行動の仕方に影響を与える.例えば 20 代男性と 60 代女性では,歩行や階段昇降の姿勢や移動速度は明らかに異なる.そこで,HASC-IPSC ではできるだけ年齢と性別をバランスさせ,男女それぞれにつき 5 歳ごとの各世代の被験者数を 5 名程度用意した (表 2).本コーパスは,利用規約に同意いただければ,誰でも無料で利用可能である (http://hasc.jp/ipsc/).HASC-IPSC が本研究分野の発展促進に寄与することを期待する.

  173. Linked Open Dataによる店舗POIの公開と活用手法の提案

    一円真治, 梶克彦, 廣井慧, 河口信夫

    マルチメディア、分散協調とモバイルシンポジウム2014論文集   Vol. 2014   page: 1930-1938   2014.7

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  174. 集約情報を用いた通知ダイアログへの対応支援手法

    上島愛史, 梶克彦, 河口信夫, 竹中光, 武内重樹, 岡本学

    マルチメディア、分散協調とモバイルシンポジウム2014論文集   Vol. 2014   page: 93-99   2014.7

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  175. 時空間情報に基づくイベント情報の集約システムの開発

    廖宸一, 梶克彦, 廣井慧, 河口信夫

    マルチメディア、分散協調とモバイルシンポジウム2014論文集   Vol. 2014   page: 657-665   2014.7

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  176. 無線LANモバイル基地局検出のための基地局情報収集フレームワーク

    武島知勳, 梶克彦, 廣井慧, 河口信夫

    マルチメディア、分散協調とモバイルシンポジウム2014論文集   Vol. 2014   page: 975-981   2014.7

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  177. ライフログ写真データに基づく連想検索に関する研究

    上村真也, 梶克彦, 廣井慧, 竹中光, 武内重樹, 岡本学, 河口信夫

    マルチメディア、分散協調とモバイルシンポジウム2014論文集   Vol. 2014   page: 1104-1111   2014.7

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  178. 歩行者自律測位における行動センシング知識の利用

    村田雄哉, 梶克彦, 廣井慧, 河口信夫

    マルチメディア、分散協調とモバイルシンポジウム2014論文集   Vol. 2014   page: 1614-1619   2014.7

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  179. Origin and Activity of NPO Location Information Service Research Agency

    KAWAGUCHI Nobuo

    The Journal of the Institute of Electronics, Information, and Communication Engineers   Vol. 97 ( 6 ) page: 488 - 492   2014.6

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  180. 距離画像による空間情報マッチングに基づくマーカレスARシステムの設計と実装 Reviewed

    山川健司,梶克彦,河口信夫

    情報処理学会論文誌(コンシューマ・デバイス&システム研究会トランザクション,CDS9)   Vol. 4 ( 1 ) page: 1-10   2014.4

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  181. HASC-IPSC : 屋内歩行センシングコーパス (モバイルネットワークとアプリケーション)

    梶 克彦, 渡辺 穂高, 坂 涼司, 河口 信夫

    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報   Vol. 113 ( 495 ) page: 69-76   2014.3

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    近年モバイルコンピューティング分野で盛んな研究テーマとして,屋内位置推定や建物構造の自動推定が挙げられる.しかし,現在までにこれらの研究で共通して利用可能なデータが存在せず,新たな手法を提案しても,既存研究との精度の比較検討が困難であった.我々は,屋内位置推定研究と建物構造推定研究を主なターゲットとした,屋内歩行センシングコーパス(GASC-IPSC)を構築した.被験者はスマートフォンを装着して建物内の様々な経路を移動する.スマートフォンに記録された加速度等のセンサデータに対して,右左折や階段昇降といった詳細な行動ラベルが人手で付与されている.また各歩行移動データには,スタート地点を原点とした1秒ごとの3次元座標の正解データも用意されている.このデータを利用して,各研究で提案された歩行者デッドレコニング手法の精度を検証可能である.また建物全体の歩行空間ネットワーク構造の正解データが用意されており,複数の歩行センシングデータを統合して建物構造を自動推定する研究のリファレンスデータとして利用できる.

  182. HASC-IPSC: 屋内歩行センシングコーパス

    梶克彦 , 渡辺穂高 , 坂涼司 , 河口信夫

    情報処理学会研究報告. MBL, [モバイルコンピューティングとユビキタス通信研究会研究報告]   Vol. 2014 ( 41 ) page: 1-8   2014.3

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    近年モバイルコンピューティング分野で盛んな研究テーマとして,屋内位置推定や建物構造の自動推定が挙げられる.しかし,現在までにこれらの研究で共通して利用可能なデータが存在せず,新たな手法を提案しても,既存研究との精度の比較検討が困難であった.我々は,屋内位置推定研究と建物構造推定研究を主なターゲットとした,屋内歩行センシングコーパス (HASC-IPSC) を構築した.被験者はスマートフォンを装着して建物内の様々な経路を移動する.スマートフォンに記録された加速度等のセンサデータに対して,右左折や階段昇降といった詳細な行動ラベルが人手で付与されている.また各歩行移動データには,スタート地点を原点とした 1 秒ごとの 3 次元座標の正解データも用意されている.このデータを利用して,各研究で提案された歩行者デッドレコニング手法の精度を検証可能である.また建物全体の歩行空間ネットワーク構造の正解データが用意されており,複数の歩行センシングデータを統合して建物構造を自動推定する研究のリファレンスデータとして利用できる.

  183. HASC-IPSC: 屋内歩行センシングコーパス

    梶克彦 , 渡辺穂高 , 坂涼司 , 河口信夫

    情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム]   Vol. 2014 ( 41 ) page: 1 - 8   2014.3

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    近年モバイルコンピューティング分野で盛んな研究テーマとして,屋内位置推定や建物構造の自動推定が挙げられる.しかし,現在までにこれらの研究で共通して利用可能なデータが存在せず,新たな手法を提案しても,既存研究との精度の比較検討が困難であった.我々は,屋内位置推定研究と建物構造推定研究を主なターゲットとした,屋内歩行センシングコーパス (HASC-IPSC) を構築した.被験者はスマートフォンを装着して建物内の様々な経路を移動する.スマートフォンに記録された加速度等のセンサデータに対して,右左折や階段昇降といった詳細な行動ラベルが人手で付与されている.また各歩行移動データには,スタート地点を原点とした 1 秒ごとの 3 次元座標の正解データも用意されている.このデータを利用して,各研究で提案された歩行者デッドレコニング手法の精度を検証可能である.また建物全体の歩行空間ネットワーク構造の正解データが用意されており,複数の歩行センシングデータを統合して建物構造を自動推定する研究のリファレンスデータとして利用できる.

  184. BI-7 Big Data for Ambient Intelligence and Sensor Networks

    OHASHI Masayoshi, KAWAGUCHI Nobuo, KOHTAKE Naohiko, UEDA Naonori

    Proceedings of the IEICE General Conference   Vol. 2014 ( 2 ) page: "SS-71"   2014.3

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  185. An Indoor Positioning Method Integrating Pedestrian Dead Reckoning with Magnetic Filed and WiFi Map

    BAN Ryoji, KAJI Katsuhiko, KAWAGUCHI Nobuo

    IEICE technical report. ASN, Ambient intelligence and sensor networks   Vol. 113 ( 399 ) page: 23-28   2014.1

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    An indoor positioning method is required for the realization of life-log, navigation and so on, because the accuracy of GPS is generally not enough in indoor environments such as commercial facilities and stations. As a indoor positioning method, pedestrian dead reckoning and using the WiFi radio waves have been studied. In this paper, we propose an indoor positioning method using residual magnetism in addition to the above described methods. Moreover, we evaluated this method in real environment and confirmed that this method can provide accurate indoor positioning with an error of mean less than 4m.

  186. A Gate Passing Detection Method Based on WiFi Significant Point

    Katsuhiko Kaji, Nobuo Kawaguchi

    IPSJ Journal   Vol. 55 ( 1 ) page: 366 - 377   2014.1

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    We propose a gate passing detection method based on WiFi signal strength and accelerometer of the user&#039;s smartphone. Gate such as door and elevater devides physical areas such as room and hallway. Thus, the WiFi environments of them tend to vary on a large scale. Conversely, it can be said that a gate should exist when the point that the WiFi environment varies on a large scale. We define such point &quot;WiFi Significant Point.&quot; We propose the detection method based on WiFi distance function and estimated moving distance according to accelerometer. We evaluated the proposal method and found out that more than half part of gate passing can be detected. We also found that the existence of gates that can be estimated same gate passing with a high degree of accuracy.

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  187. A Gate Passing Detection Method Based on WiFi Significant Point Reviewed

      Vol. 55 ( 1 ) page: 366-377   2014.1

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  188. Design and Implementation of Event Information Summarization System

    Liao Chenyi, Kaji Katsuhiko, Hiroi Kei, Kawaguchi Nobuo

    2014 38TH ANNUAL IEEE INTERNATIONAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSACW 2014)     page: 572-577   2014

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    DOI: 10.1109/COMPSACW.2014.96

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  189. Proposal of a Platform Integrating POI Information

    Ichien Shinji, Kaji Katsuhiko, Kawaguchi Nobuo

    2014 SEVENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORKING (ICMU)     page: 123 - 128   2014

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  190. Taxonomy of Survey Technology:—From Celestial Navigation to Indoor Localization—

    KAWAGUCHI Nobuo

    IEEJ Transactions on Sensors and Micromachines   Vol. 134 ( 12 ) page: 832 - 835   2014

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    DOI: 10.1541/ieejjournal.134.832

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  191. 距離画像による空間情報マッチングに基づくマーカレスARシステムの設計と実装 Reviewed

    山川健司, 梶克彦, 河口信夫

    情報処理学会論文誌コンシューマ・デバイス&システム(CDS)   Vol. 4 ( 1 ) page: 12 - 21   2014

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  192. Privacy Protection in WiFi-based Location Estimation Reviewed

    Zuotao Peng, Katsuhiko Kaji, Nobuo Kawaguchi

    2014 SEVENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORKING (ICMU)     page: 62 - 67   2014

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    In recent years, along with the spread of WiFi-based location estimation service, the privacy problem has been pointed out. For existing WiFi-based location estimation service, users' traces and position information can be obtained fraudulently. Personal privacy may be compromised. This research proposes an algorithm that determines the reliability of the user by considering the probability of both spatial and temporal to resolve the privacy problem in WiFi-based location estimation. Meanwhile, we are operating a portal Locky. jp on location estimation using WiFi. Based on the actual data of base stations stored in the Locky. jp database, we confirm this algorithm. As a result, the percentage of returning position for privacy invasion data and whole data (privacy invasion data is also included) are about 20% and 55% respectively. In summary, we know that this algorithm reduced the privacy invasion to about 20% in the WiFi-based location estimation system.

    DOI: 10.1109/ICMU.2014.6799059

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  193. International workshop on human activity sensing corpus and its application (HASCA2014) Reviewed

    Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas

    UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing     page: 715 - 719   2014

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    Recent advancement of technology enables installations of small sized accelerometers or gyroscopes on various kinds of wearable/portable information devices. By using such wearable sensors, these devices can estimate its posture or status. However, most of current devices only utilize these sensors for simple orientation and gesture recognition. More deep understandings and recognition of human activity through these sensors will enable the next-generation human-oriented computing. To enable the real-world application by these kinds of wearable sensors, a large scale human activity sensing corpus might play an important role. Additionally, we have now a lot of high-performance mobile devices in real-world such as smart-phones. It is a great challenge to utilize such an enormous number of wearable sensors to collect a large-scale activity corpus. In recent years, there are several ongoing projects which are collecting human activities. Following on a huge success of last year's workshop, we are further planning to share these experiences of current research on human activity corpus and its applications among the researchers and the practitioners and to have a deep discussion for future of activity sensing.

    DOI: 10.1145/2638728.2641314

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  194. Pedestrian dead reckoning based on human activity sensing knowledge Reviewed

    Yuya Murata, Katsuhiko Kaji, Kei Hiroi, Nobuo Kawaguchi

    UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing     page: 797 - 806   2014

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    This research addresses improvement of the accuracy of pedestrian dead reckoning (PDR), which is one effective technique to estimate indoor positions using smartphone sensors. Even though various techniques using step lengths and their number have been previously proposed for PDR, insufficient accuracy is gotten from smartphone sensors. In this research, we define human activity sensing knowledge and propose improvements to PDR accuracy based on it. Human activity sensing knowledge consists of four kinds of information: pedestrian, environmental, activity, and terminal. Previous studies separately used these kinds of information
    however, no study has systematically arranged them for use in PDR. We improved PDR accuracy by adjusting the step length in passages and on stairs and revised activity recognition error with human activity sensing knowledge. To investigate the effectiveness of that strategy, we used HASC-IPSC, which is an indoor pedestrian sensing corpus. After our investigation, activity recognition accuracy improved from 71.2% to 91.4%, and the distance estimation error was reduced from approximately 27 m to approximately 7 m using human activity sensing knowledge. Copyright 2014 ACM.

    DOI: 10.1145/2638728.2641305

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  195. Privacy Protection in WiFi-based Location Estimation

    Peng Zuotao, Kaji Katsuhiko, Kawaguchi Nobuo

    2014 SEVENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORKING (ICMU)     page: 62 - 67   2014

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  196. みんなで作る位置情報サービス~スマートステーションなごや構想~

    河口 信夫

    測量   Vol. 2014年4月号   page: 10 - 15   2014

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  197. 位置情報技術の進化と活用事例

    河口 信夫

    OHM   Vol. 2014年3月号   page: 8 - 11   2014

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  198. スマートな位置情報サービスの構築に向けて ~NPO法人 Lisraの取り組み~

    河口 信夫

    アーバン・アドバンス   Vol. 2014年3月号   page: 47 - 55   2014

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  199. Gate-passing detection method based on WIFI significant points

    Kaji K., Kawaguchi N.

    Lecture Notes in Engineering and Computer Science   Vol. 2 LNECS   page: 1409 - 1414   2013.11

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    We propose a gate-passing detection method based on WiFi signal strength and the accelerometers of user smartphones. Since doors divide such physical areas as rooms and hallways, the WiFi environments tend to greatly vary. A gate should exist when the points in the WiFi environments vary on a large scale. We define such points as WiFi significant points and propose a detection method based on a WiFi distance function and estimated moving distance according to an accelerometer. We evaluated our proposed method and found out that most door passings can be detected. We also found that we can estimate the existence of doors that have identical door passings with a high degree of accuracy.

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  200. Elevator Acceleration Sensing: Design and Estimation Recognition Algorithm Using Crowdsourcing Reviewed

    Tianhui Yang, Katsuhiko Kaji and Nobuo Kawaguchi

    CDS 2013: The 1st IEEE International Workshop on Consumer Devices and Systems     page: 534-539   2013.7

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  201. Gate-Passing Detection Method Based on WiFi Significant Points Reviewed

    Katsuhiko Kaji, Nobuo Kawaguchi

    The World Congress on Engineering 2013, Certificate of Merit for The 2013 International Conference of Wireless Networks     page: 1409-1414   2013.7

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  202. 実世界に広がる装着型センサを用いた行動センシングとその応用:1. 大規模人間行動センシングデータベースHASC Corpusとその応用 Invited Reviewed

    河口信夫

    情報処理   Vol. 54 ( 6 ) page: 564-567   2013.5

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    音声や画像といった分野では,大規模データの活用により性能向上が図られてきたが,行動認識には利用できるデータが存在していない.我々は人間行動センシングコンソーシアム(Human Activity Sensing Consortium: HASC)を設立し,行動認識技術のより一層の進展のために大規模な行動センシングデータベース HASC corpusを構築した.HASC Challenge を2010年から3年間開催し,300名を超える被験者の行動データを収集した.データの応用例として被験者数の増大に基づく認識率向上や,経路識別を示す.また,年齢にバランスしたデータや,屋内案内をターゲットとしたデータ収集も進めている.これらのデータの多くは登録すれば無償で利用できるため,ぜひ利用して,あらたな成果を生んでいただきたい.

  203. Scalable QoS for XCAST Using Differentiated Services Architecture Reviewed

    Odira Elisha Abade, Katsuhiko Kaji, Nobuo Kawaguchi

      Vol. 20 ( 1 ) page: 131-144   2013.1

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  204. A Localization Method for Markerless AR Using a Depth Image Sensor Reviewed

    Kenji Yamakawa,Katsuhiko Kaji, Nobuo Kawaguchi

    Proceedings of the the International Workshop on Advanced Image Technology (IWAIT'13)     page: 1182-1187   2013.1

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  205. An Intuitive Multi-touch Interface Using Finger Posture for Operating 3D Objects Reviewed

    Shingo Baba, Katsuhiko Kaji, and Nobuo Kawaguchi Toshiyuki Hagiya and Tsuneo Kato

    Proceedings of the the International Workshop on Advanced Image Technology (IWAIT'13)     page: 244-249   2013.1

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  206. Elevator acceleration sensing: Design and estimation recognition algorithm using crowdsourcing

    Yang Tianhui, Kaji Katsuhiko, Kawaguchi Nobuo

    2013 IEEE 37TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSACW)     page: 534-539   2013

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    DOI: 10.1109/COMPSACW.2013.97

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  207. Gate-Passing Detection Method Based on WiFi Significant Points Reviewed

    Katsuhiko Kaji, Nobuo Kawaguchi

    WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL II     page: 1409 - 1414   2013

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    We propose a gate-passing detection method based on WiFi signal strength and the accelerometers of user smart-phones. Since doors divide such physical areas as rooms and hallways, the WiFi environments tend to greatly vary. A gate should exist when the points in the WiFi environments vary on a large scale. We define such points as WiFi significant points and propose a detection method based on a WiFi distance function and estimated moving distance according to an accelerometer. We evaluated our proposed method and found out that most door passings can be detected. We also found that we can estimate the existence of doors that have identical door passings with a high degree of accuracy.

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  208. Gate-Passing Detection Method Based on WiFi Significant Points

    Kaji Katsuhiko, Kawaguchi Nobuo

    WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL II     page: 1409 - 1414   2013

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  209. HASC-IPSC: Indoor pedestrian sensing corpus with a balance of gender and age for indoor positioning and floor-plan generation researches Reviewed

    Katsuhiko Kaji, Ryoji Ban, Hodaka Watanabe, Nobuo Kawaguchi

    UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing     page: 605 - 610   2013

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    Up till now, the majority of researches related to location estimation and floor plan creation have used different kinds of data and there has simply been no technique to compare the relative advantages and disadvantages. We collected indoor pedestrian sensing data of 100 people with a balance of gender and age. The data is part of the HASC corpus, free to use for research purposes. Copyright © 2013 ACM.

    DOI: 10.1145/2494091.2495981

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  210. Scalable QoS for XCAST Using Differentiated Services Architecture

    Abade Odira Elisha, Kaji Katsuhiko, Kawaguchi Nobuo

    Information and Media Technologies   Vol. 8 ( 1 ) page: 182 - 195   2013

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    Explicit multiunicast (XCAST) has been proposed as a multicasting scheme with complementary scaling properties which can solve the scalability problems of conventional IP Multicast. XCAST is suitable for videoconferencing, online games and IPTV. This paper deals with QoS provisioning in XCAST networks using Differentiated Services (DiffServ). We show that integration of DiffServ in XCAST is a non-trivial problem due to inherent architectural differences between XCAST and DiffServ. We then propose a scheme called QS-XCAST that uses dynamic DSCPs to adapt to the heterogeneity of receivers in an XCAST network. We also provide an algorithm for harmonizing the <i>receiver-driven</i> and <i>sender-driven</i> QoS approaches between XCAST and DiffServ thereby determining the correct DSCP-PHB for all links in an XCAST network. By simulating using OMNeT++ we evaluate QS-XCAST using four metrics: throughput, average per-hop-delay, link utilization and forwarding fairness to other traffic in the network. Our solution eliminates <i>DSCP confusion</i> and <i>collusion attack</i> problems to which naive XCAST QoS provisioning is vulnerable. It also offers a more efficient bandwidth utilization, better forwarding fairness and less traffic load compared to the existing XCAST.

    DOI: 10.11185/imt.8.182

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  211. Chairs' summary/proposal for international workshop on human activity sensing corpus and its application (HASCA2013) Reviewed

    Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Kaori Fujinami, Susanna Pirttikangas

    UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing     page: 599 - 603   2013

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    Recent advancement of technology enables installations of small sized accelerometers or gyroscopes on various kinds of wearable/portable information devices. By using such wearable sensors, these devices can estimate its posture or status. However, most of current devices only utilize these sensors for simple orientation and gesture recognition. More deep understandings and recognition of human activity through these sensors will enable the next-generation human-oriented computing. To enable the real-world application by these kinds of wearable sensors, a large scale human activity sensing corpus might play an important role. Additionally, we have now a lot of high-performance mobile devices in real-world such as smart-phones. It is a great challenge to utilize such an enormous number of wearable sensors to collect a large-scale activity corpus. In recent years, there are several ongoing projects which are collecting human activities. In this workshop, we are planning to share these experiences of current research on the human activity corpus and its applications among the researchers and the practitioners and to have a deep discussion for future of activity sensing. Copyright © 2013 ACM.

    DOI: 10.1145/2494091.2495992

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  212. 大規模人間行動センシングデータベースHASC Corpusとその応用

    河口 信夫

    情報処理学会誌   Vol. Vol.54, No.6   page: 564 - 567   2013

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  213. Design and Implementation of WiFi Indoor Localization based on Gaussian Mixture Model and Particle Filter Reviewed

    Katsuhiko Kaji, Nobuo Kawaguchi

    Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN'12)     2012.11

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  214. Application Layer Traffic Engineering for Multipoint Communication System Reviewed

    Yumi Nakayama, Katsuhiko Kaji, Nobuo Kawaguchi

    The 15th International Conference on Network-Based Information Systems (NBiS-2012)     page: 284-289   2012.9

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  215. 大規模人間行動センシングコーパスHASC2012corpus の概要とその応用 Reviewed

    河口 信夫, 渡辺 穂高, 楊 天輝, 小川 延宏, 岩崎 陽平, 梶 克彦, TERADA TSUTOMU, MURAO KAZUYA, 羽田 久一, 井上 創造, 川原 圭博, 角 康之, 西尾 信彦

    情報処理学会シンポジウムシリーズマルチメディア,分散,協調とモバイルシンポジウム(DICOMO2012)論文集     page: 1110–1116   2012.7

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    人間行動の理解は,情報システムの究極の目標の一つである.我々は装着型センサを用いた人間行動の大規模コーパスの構築を行うために,HASC Challengeを2010年,2011年と開催した.これらの成果として,HASC2011corpus(被験者数116, 行動データ数4898),HASC2012corpus(被験者数136, 行動データ数7668)を構築した.本稿では,HASC2012corpusの概要と,新たな実環境データの応用について述べる.

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  216. HASC2012corpus: Large Scale Human Activity Corpus and Its Application Reviewed

    KAWAGUCHI Nobuo, WATANABE Hodaka, YANG Tianhui, OGAWA Nobuhiro, IWASAKI Yohei, KAJI Katsuhiko, TERADA Tsutomu, MURAO Kazuya, HADA Hisakazu, INOUE Sozo, SUMI Yasuyuki, KAWAHARA Yoshihiro, NISHIO Nobuhiko

    the Second International Workshop of Mobile Sensing: From Smartphones and Wearables to Big Data(Held with IPSN2012 and CPSWeek 2012)     page: 10 - 14   2012.4

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  217. Design and Implementation of WiFi Indoor Localization based on Gaussian Mixture Model and Particle Filter

    Kaji Katsuhiko, Kawaguchi Nobuo

    2012 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN)     page: .   2012

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  218. External device session initiation framework using mobile phone connection information Reviewed

    Toshiharu Asai, Katsuhiko Kaji, Nobuo Kawaguchi

    Asian Internet Engineeering Conference, AINTEC 2012     page: 55 - 61   2012

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    Recent advancement of communications systems enables that any person can easily connect to others using network devices. However, it is still bothering to setup an external device to communicate with other devices. This paper proposes a framework for external device session initiation using a mobile phone connection information. To overcome the complex configuration issues, we employ several global servers for session initiation. By using connection information of a mobile phone, one can easily connect an external device with other device without setting any connection information. By using the framework, we have developed a prototype which can easily connect Kiosk video terminal with other device just facing an Android smartphone with NFC feature over the Kiosk terminal. We have counted the steps required to the user for the session initiation, and confirm the framework overcomes the issues. Copyright 2012 ACM.

    DOI: 10.1145/2402599.2402607

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  219. Design and Implementation of WiFi Indoor Localization based on Gaussian Mixture Model and Particle Filter Reviewed

    Katsuhiko Kaji, Nobuo Kawaguchi

    2012 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN)     page: 1 - 9   2012

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    Up to now Scene Analysis has been based on the WiFi location estimation technique and it has been necessary to have a large scale database and a large amount of calculation. We propose a WiFi estimation method that uses little data or calculation. First of all we apply Gaussian Mixture Model to represent the large scale WiFi database to decrease the WiFi data by no less than 95%. Secondly, we apply Particle Filter to adjust the possible calculation quantity needed for the location estimation technique. As experimental result, we achieved real-time location estimation within 6 similar to 10m. Another important issue for Scene Analysis technique is the high cost of operation of the previous WiFi observation. Accordingly crowdsourcing approach was used, employing as system where some users could contribute and other uses could share. The ideal system is a composition of the Web and mobile terminal. WiFi data observed by mobile terminals is uploaded to a Web server where it is managed and integrated into GMM and large scale operations are carried out on data and calculations. When the lightweight modeled data is downloaded to the mobile-terminal, the mobile terminal then has the ability to carry out real-time location estimation independently.

    DOI: 10.1109/IPIN.2012.6418943

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  220. QS-XCAST: a QoS aware XCAST implementation. Reviewed

    Odira Elisha Abade, Katsuhiko Kaji, Nobuo Kawaguchi

    International ICST Conference on Simulation Tools and Techniques, SIMUTOOLS '12, Sirmione-Desenzano, Italy, March 19-23, 2012     page: 307 - 310   2012

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    DOI: 10.4108/icst.simutools.2012.247761

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  221. A Proposal of Landmark-conscious Voice Navigation Reviewed

    河口 信夫

    The Sixth International Conference on Mobile Computing and Ubiquitous Networking(ICMU 2012)     page: 56 - 61   2012

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  222. A Proposal of Landmark-conscious Voice Navigation Reviewed

    河口 信夫

    The Sixth International Conference on Mobile Computing and Ubiquitous Networking(ICMU 2012)     page: 56 - 61   2012

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  223. App.Locky:コンテキスト依存型サービス推薦を目的としたユーザ状況収集プラットフォーム Reviewed

    矢野幹樹,梶克彦,河口信夫

    情報処理学会論文誌   Vol. 52 ( 12 ) page: 3274-3288   2011.12

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    モバイル端末向けに提供されるWeb サービスやアプリケーションなどのサービス
    の数は爆発的に増加しており,膨大な数のサービスの中から自分に必要な物を探し出
    すことが困難となりつつある.我々は,ユーザの状況に応じてサービスの推薦を行う
    システムの実現を目指す.推薦を実現する上で必要となる学習情報の獲得を行うため
    に,現在状況をクエリとするアプリ検索サービスを提供し,ユーザ状況の収集から推
    薦までを行うプラットフォームを提案する.提案に基づいた状況依存型アプリ検索シ
    ステム「App.Locky」の実装を行い,インターネット上にて公開した上で,実ユーザ
    を対象とした大規模検索ログ収集実験を行った.実験の結果,収集された検索ログを
    ユーザ状況の推定に利用可能であることを確認した.

  224. indoor.Locky: UGCを利用した無線LAN 屋内位置情報基盤 Reviewed

    梶克彦,河口信夫

    情報処理学会論文誌   Vol. 52 ( 12 ) page: 3263-3273   2011.12

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    我々は,様々な建物において屋内位置情報を一般に利用できる環境の実現を目指し,
    GMM に基づく無線LAN 位置推定技術を用いた屋内位置情報基盤indoor.Locky の
    研究開発を行っている.本基盤の実用化に向けた最も大きな問題は, 一般ユーザが行
    う事前の無線LAN 観測の作業コストが高いという点である.そこで,この作業を複
    数ユーザで分担できるようUGC(User Generated Content) のアプローチを採用す
    る.商業施設に置いて実証実験を行い,複数ユーザの観測情報がWeb サービス側で
    正常に統合されることを確認した.また最も作業コストと位置推定精度のバランスが
    とれた観測地点の間隔が5m 程度であることを明らかにした.これにより,一般ユー
    ザが行う観測作業の適切な間隔を提示可能になるため,多くの箇所の観測を行ってし
    まい作業コストが必要以上増加してしまうのを防ぐことができる.

  225. Constructing and Collecting Indoor Structural Map Data with Crowdsourcing

    SUZUKI Yuki, KAJI Katsuhiko, KAWAGUCHI Nobuo

    IEICE technical report   Vol. 111 ( 296 ) page: 1-6   2011.11

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    Currently, there are many indoor positioning researches using wireless LAN etc. However, there is no wide existance of structural map information on buildings or underground centers that can be applied in indoor positioning. In order to implement indoor location-based services such navigation based on user location, indoor map information is required. Moreover, indoor map information is also useful in the development of research in indoor positioning. This research aims at widely collecting indoor structure map information based on floor map pictures from sources such websites and a the guidance information for an institution through crowdsourcing approach. This paper describes a series of flows, such as acquisition of a floor map, automatic structuring, modification of users, concentration of structural information, and sharing of structural information. It also describes the system which used in supporting this approach. In addition, details of the contents of structural information are also given.

  226. Adaptation of Integrity Maintenance Method for Location Estimation to Large Scale Wireless LAN Observation Database

    He Tao, Kaji Katsuhiko, Kawaguchi Nobuo

    IEICE technical report   Vol. 111 ( 296 ) page: 13 - 18   2011.11

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    We have operated a portai Locky.jp on location information and estimation using wireless LAN. It is possible to estimate the current location based on the database of wireless LAN information observed and submitted by general users. However, the failure in wireless LAN observation, together with the base station which has been moved, base station in Shinkansen, and mobile WiFi, would cause adverse effect in accuracy of location estimation if they did not have the proper handle. In this paper, intended with the large base station database collected by Locky.jp, we detect the failure in wireless LAN observation and base station which has been moved, and fix them to maintain the integrity of wireless LAN database. The results of evaluation confirmed the improvement of the location estimation accuracy with applying these corrections.

  227. Adaptation of Integrity Maintenance Method for Location Estimation to Large Scale Wireless LAN Observation Database

    HE Tao, KAJI Katsuhiko, KAWAGUCHI Nobuo

      Vol. 111 ( 296 ) page: 13-18   2011.11

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  228. Constructing and Collecting Indoor Structural Map Data with Crowdsourcing

    SUZUKI Yuki, KAJI Katsuhiko, KAWAGUCHI Nobuo

      Vol. 111 ( 296 ) page: 1-6   2011.11

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  229. Large Scale Data Processing on the Ubiquitous Systems : From the Experience of Locky.jp

    KAWAGUCHI Nobuo

    IEICE technical report. Data engineering   Vol. 111 ( 173 ) page: .   2011.7

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    Locky.jp project handles more than 1 million WiFi AP information which is extracted from 100 million crowd sourced data. Our smart phone applications which include "Eki.Locky" are downloaded over 1 million times. By serving such services, we get huge amount of usage data. There are several frameworks to handle this kind of huge information. However, there is no mature technology to handle them. In this talk, I'll introduce our case-study and current study about heterogeneous data handling.

  230. HASC Challenge2010 :人間行動理解のための装着型加速度センサデータコーパスの構築 Reviewed

    KAWAGUCHI Nobuo, OGAWA Nobuhiro, IWASAKI Yohei, KAJI Katsuhiko, TERADA Tsutomu, MURAO Kazuya, INOUE Sozo, KAWAHARA Yoshihiro, SUMI Yasuyuki, NISHIO Nobuhiko

    情報処理学会マルチメディア,分散,協調とモバイルシンポジウム (DICOMO 2011) 論文集   Vol. 2011 ( 1 ) page: 69 - 75   2011.7

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  231. Design, Implementation and Evaluation of a Routing Engine for a Multipoint Communication Protocol: XCAST6 Reviewed

    Odira Elisha Abade, Katsuhiko Kaji, Nobuo Kawaguchi

    International Journal of Computer Science and Network Security   Vol. 11 ( 5 ) page: 200-209   2011.5

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    In this paper we therefore propose an "XCAST6 Routing Engine", an out-of-the-box solution that simplifies gradual deployment of XCAST in the real-world. The contribution of this paper is two fold. We not only provide a simple solution that can hasten deployment of XCAST on the real Internet but we also exemplify through experimental performance evaluation of our
    solution with respect to a number of performance and resource utilization metrics, that contrary to other perceptions, XCAST does not actually add an extra ordinary load to the routing resources.

  232. A Streaming Video Augmentation Method for Improving Visibility of the Content

    KAJI KATSUHIKO, KAWAGUCHI NOBUO

    IEICE technical report   Vol. 111 ( 50 ) page: 75-82   2011.5

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    Recently, demand of presentation video is increasing so that various conferences provide the streaming service of presentation video. In many cases, presentation slides and posters in the streaming video are not so visible because of various reasons such as low resolution and distortion. Users cannot understand the presentation clearly in such situation. In this paper, we propose a streaming video augmentation method to improve the visibility of the content in the streaming video. In the method, the client downloads the original data of the content in the streaming video previously. Then, in the watching phase, the image generated from original data is superimposed at the location of the content area in the streaming video. We implemented poster presentation live streaming system. We also conducted experiment of the system. In result, we found out that the system improve the visibility of poster in the streaming video, and reduce the flustration of watching the video.

  233. Gaussian Mixture Modelを用いた無線LAN位置推定手法 Reviewed

    藤田迪,梶克彦,河口信夫

    情報処理学会論文誌   Vol. 52 ( 3 ) page: 1069-1081   2011.3

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    DOI: 1069-1081

  234. HASC challenge: Gathering large scale human activity corpus for the real-world activity understandings Reviewed

    Nobuo Kawaguchi, Nobuhiro Ogawa, Yohei Iwasaki, Katsuhiko Kaji, Tsutomu Terada, Kazuya Murao, Sozo Inoue, Yoshihiro Kawahara, Yasuyuki Sumi, Nobuhiko Nishio

    ACM International Conference Proceeding Series   ( Article 27 ) page: 27   2011

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    Understandings of human activity through wearable sensors will enable the next-generation human-oriented computing. However, most of researches on the activity recognition so far are based on small number of test subjects, and not well adapted for real world applications. To overcome the situation, we have started a project named "HASC Challenge" to collect a large scale human activity corpus. By the end of 2010, by the collaboration of 20 teams, more than 6700 accelerometer data with 540 subjects have been collected through our project. We also developed a tool named "HASC Tool" for management, evaluation and collection of the large number of activity sensor data. Copyright 2011 ACM.

    DOI: 10.1145/1959826.1959853

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  235. HASC2011corpus: Towards the Common Ground of Human Activity Recognition

    Kawaguchi Nobuo, Yang Ying, Yang Tianhui, Ogawa Nobuhiro, Iwasaki Yohei, Kaji Katsuhiko, Terada Tsutomu, Murao Kazuya, Inoue Sozo, Kawahara Yoshihiro, Sumi Yasuyuki, Nishio Nobuhiko

    UBICOMP'11: PROCEEDINGS OF THE 2011 ACM INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING     page: 571-572   2011

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  236. Distributed Human Activity Data Processing using HASC Tool

    Kawaguchi Nobuo, Ogawa Nobuhiro, Iwasaki Yohei, Kaji Katsuhiko

    UBICOMP'11: PROCEEDINGS OF THE 2011 ACM INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING     page: 603-604   2011

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  237. Quantitative simulation of XCAST6 performance using OMNeT++ Reviewed

    Odira Elisha Abade, Katsuhiko Kaji, Nobuo Kawaguchi

    Asian Internet Engineeering Conference, AINTEC 2011     page: 22 - 29   2011

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    Explicit multiunicast (XCAST) is a form of small group multicast in which the sender embeds IP addresses of all receiving nodes in a special header and sends it with all data packets. On sending, each XCAST-aware router in the path examines the packet and partitions the destinations into various sets based on their next hops. For each set, the router uses a bitmap in the packet header to ensure that each copy of the packet is delivered only to destinations whose corresponding bits in the bitmap are set to 1. Sometimes real world implementation of XCAST6 can take a long time to deploy and resource constraints can limit the scale of testing that can be done. We have therefore integrated XCAST6 into the IPv6 stack of INET Framework for OMNeT++ to allow for large-scale, exhaustive and realistic investigation of XCAST6 characteristics and to complement our current research into real world deployment of XCAST6. The contribution of this paper is two fold. First, it describes our implementation of XCAST6 in OMNeT++'s INET framework. Secondly, it experimentally shows the effectiveness of XCAST6 with regards to various multicast performance metrics such as stress, end-to-end delay, efficiency and packet processing overhead rate.

    DOI: 10.1145/2089016.2089021

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  238. Distributed human activity data processing using HASC tool Reviewed

    Nobuo Kawaguchi, Nobuhiro Ogawa, Yohei Iwasaki, Katsuhiko Kaji

    UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing     page: 603 - 604   2011

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    To accelerate and simplify human activity recognition research, we have been developing a data processing tool named "HASC Tool." As the activity corpus becomes huge, it is not simple to handle the large number of files because it takes a lot of time to process. In this paper, we propose a distributed data processing mechanism which is implemented in the HASC Tool. By using the system, we can simply scale the local system into distributed processing. We also show the preliminary experimental result. © 2011 Authors.

    DOI: 10.1145/2030112.2030234

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  239. Gaussian Mixture Modelを用いた無線LAN位置推定手法 Reviewed

    藤田迪, 梶克彦, 河口信夫

    情報処理学会論文誌   Vol. 52 ( 3 ) page: 1069 - 1081   2011

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  240. HASC2011corpus: Towards the common ground of human activity recognition Reviewed

    Nobuo Kawaguchi, Ying Yang, Tianhui Yang, Nobuhiro Ogawa, Yohei Iwasaki, Katsuhiko Kaji, Tsutomu Terada, Kazuya Murao, Sozo Inoue, Yoshihiro Kawahara, Yasuyuki Sumi, Nobuhiko Nishio

    UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing     page: 571 - 572   2011

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    Human activity recognition through the wearable sensor will enable a next-generation human-oriented ubiquitous computing. However, most of research on human activity recognition so far is based on small number of subjects, and non-public data. To overcome the situation, we have gathered 4897 accelerometer data with 116 subjects and compose them as HASC2011corpus. In the field of pattern recognition, it is very important to evaluate and to improve the recognition methods by using the same dataset as a common ground. We make the HASC2011corpus into public for the research community to use it as a common ground of the Human Activity Recognition. We also show several facts and results of obtained from the corpus. © 2011 Authors.

    DOI: 10.1145/2030112.2030218

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  241. indoor.Locky: UGCを利用した無線LAN 屋内位置情報基盤 Reviewed

    梶克彦, 河口信夫

    情報処理学会論文誌   Vol. 52 ( 12 ) page: 3263 - 3273   2011

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  242. App.Locky:コンテキスト依存型サービス推薦を目的としたユーザ状況収集プラットフォーム Reviewed

    矢野幹樹, 梶克彦, 河口信夫

    情報処理学会論文誌   Vol. 52 ( 12 ) page: 3274 - 3288   2011

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  243. App.locky: Users' context collecting platform for context-aware application recommendation Reviewed

    Katsuhiko Kaji, Motoki Yano, Nobuo Kawaguchi

    UbiCrowd'11 - Proceedings of the 2nd International Workshop on Ubiquitous Crowdsouring     page: 29 - 32   2011

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    Recently, it has become very hard for users to find their desired mobile services because the number of applications and Web services are rapidly increasing. Therefore, it is important to realize context-aware application recommendation. Because it is necessary to collect large learning data to estimate user's context, we propose a platform for collecting users' context and relationship between context and application by providing an application search system that inquires user's current context. We implemented a system named "App.Locky" based on our proposal and conducted experiments by publishing the system on the internet. As a result, we confirmed that collected search logs can be used to estimate user's context and relationship between context and application. © 2011 ACM.

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  244. indoor.Locky : UGCを利用した無線LAN屋内位置情報基盤 Reviewed

    河口 信夫

    情報処理学会論文誌   Vol. Vol.52, No.12   page: 3263 - 3273   2011

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    CiNii Research

  245. 大規模データベースと装着型センサで人間行動を理解する

    河口 信夫

    情報処理   Vol. 52-1   page: 32 - 36   2011

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  246. 大規模データベースと装着型センサで人間行動を理解する Invited

    河口信夫

    情報処理   Vol. 52 ( 1 ) page: 32   2010.12

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  247. 人間行動理解のための信号処理 Invited

    河口信夫,武田一哉

    電子情報通信学会誌   Vol. 93 ( 12 ) page: 1060   2010.12

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  248. Signal Processing for Human Activity Understanding

    KAWAGUCHI Nobuo, TAKEDA Kazuya

    The Journal of the Institute of Electronics, Information and Communication Engineers   Vol. 93 ( 12 ) page: 1060-1062   2010.12

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  249. Eki.Locky : Time Table Information System using WiFi Location Technology

    YANO Motoki, IWASAKI Yohei, KAWAGUCHI Nobuo

      Vol. 72 ( 0 ) page: 289-290   2010.3

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  250. D-19-8 Applications of Public Sensors on Privacy Protection

    Kitade Takuya, Iwasaki Yohei, Kawaguchi Nobuo, Hirano Yasushi, Kajita Shoji, Mase Kenji

    Proceedings of the IEICE General Conference   Vol. 2010 ( 2 ) page: .   2010.3

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  251. Development of a Fine-grained Power Sensing and Presentation System

    UEDA Yasutaka, OGAWA Nobuhiro, KAWAGUCHI Nobuo, KATAYAMA Masaaki

      Vol. 2010 ( 1 ) page: 27-32   2010.1

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  252. TimeTable.Locky: Nation wide WiFi location information system based on user contributed information Reviewed

    Motoki Yano, Katsuhiko Kaji, Nobuo Kawaguchi

    Proceedings of the 3rd International Workshop on Location and the Web, LocWeb 2010     page: 24 - 25   2010

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    We introduce an iPhone / iPod touch timetable application using WiFi location system named "Eki.Locky". This application adopts UGC (User Generated Content) approach to collect TimeTable information andWiFi access point (AP) information from public users. Since the service started in October 2009, Eki.Locky has been used by over 440,000 people, posted timetable information covers 98% of all stations in Japan and 350,000 WiFi AP information were collected. In addition, since June 2010, we started a new version of this application named "TimeTable.Locky" which supports any timetable such as buses and airplanes. TimeTable.Locky also has been used large number of people, and collected over 23,000 of timetable information. Copyright 2010 ACM.

    DOI: 10.1145/1899662.1899669

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  253. *高度な実世界イベント認識を手軽に利用可能にするInstant Learning Sound Sensor の提案 Reviewed

    根岸 佑也,河口 信夫

    情報処理学会論文誌   Vol. 50 ( 4 ) page: 1272,1286   2009.4

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  254. Wireless Lan-Based Vehicular Location Information Processing

    Ito Seigo, Kawaguchi Nobuo

    IN-VEHICLE CORPUS AND SIGNAL PROCESSING FOR DRIVER BEHAVIOR     page: 69-+   2009

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    DOI: 10.1007/978-0-387-79582-9_6

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  255. Underground Positioning: Subway Information System using WiFi Location Technology

    Kawaguchi Nobuo, Yano Motoki, Ishida Shogo, Sasaki Takeshi, Iwasaki Yohei, Sugiki Kenji, Matsubara Shigeki

    MDM: 2009 10TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT     page: 371-372   2009

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    Web of Science

  256. WiFi Location Information System for Both Indoors and Outdoors

    Kawaguchi Nobuo

    DISTRIBUTED COMPUTING, ARTIFICIAL INTELLIGENCE, BIOINFORMATICS, SOFT COMPUTING, AND AMBIENT ASSISTED LIVING, PT II, PROCEEDINGS   Vol. 5518   page: 638-645   2009

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  257. NAT Free Open Source 3D Video Conferencing using SAMTK and Application Layer Router

    Kawaguchi Nobuo, Nishiura Shuntaro, Abade Odira Elisha, Kurosawa Takahiro, Jinmei Tatsuya, Muramoto Eiichi

    2009 6TH IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1 AND 2     page: 9-+   2009

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    Web of Science

  258. *PlanetLabを用いたIPv6オーバレイネットワークの構築 Reviewed

    櫻井覚,管文鋭,松井大輔,今井祐二,村本衛一,河口信夫

    情報処理学会論文誌   Vol. 49 ( 9 ) page: 3234-3244   2008.9

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  259. *ユビキタスコンピューティングにおけるコンテキストセンシングとデータ処理 Reviewed

    根岸佑也,河口信夫

    人工知能学会誌   Vol. 23 ( 5 ) page: 597-603   2008.5

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  260. *Locky.jp : 無線LANを用いた位置情報ポータルとその応用 Invited Reviewed

    河口信夫

    ヒューマンインタフェース学会誌   Vol. Vol.10 ( No.1 ) page: 15-20   2008.1

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  261. *ACS:多様な人間関係を表現可能なソーシャルネットワーキングシステム Reviewed

    高井一輝,河口信夫

    情報処理学会論文誌   Vol. Vol.48 ( No.7 ) page: 2328-2339   2007.7

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  262. Practice and Analysis of an Extension Course for Training Trainers of Embedded Software Reviewed

    Masaki Yamamoto, Shinya Honda, Hiroaki Takada, Kiyoshi Agusa, Hiroyuki Tomiyama, Kenji Mase, Nobuo Kawaguchi, and Nobuyuki Kaneko

    ACM SIGBED Review   Vol. Vol. 4 ( No. 1 ) page: 73-81   2007.1

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  263. Instant learning sound sensor: Flexible environmental sound recognition system

    Negishi Yuya, Kawaguchi Nobuo

    INSS 07: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON NETWORKED SENSING SYSTEMS     page: 305-305   2007

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  264. 無線LANを用いた広域な位置情報システムに関する検討 Reviewed

    伊藤誠悟,吉田廣志,河口信夫

    情報処理学会論文誌   Vol. Vol.47 ( No.12 ) page: 3124-3136   2006.12

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  265. アクセスポイントの選択を考慮したベイズ推定による無線LANハイブリッド位置推定手法とその応用 Reviewed

    伊藤誠悟, 河口信夫

    電気学会論文誌 C電子・情報・システム部門誌   Vol. Vol.126 ( No.10 ) page: 1212-1220   2006.10

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  266. 社会人に対する組込みソフトウェア技術の再教育の取り組み Reviewed

    山本雅基,阿草清滋,間瀬健二,高田広章,河口信夫, 冨山宏之,本田晋也,金子伸幸

    電気学会, A部門, 教育フロンティア研究会   Vol. Vol.126, No.7   page: 563-569   2006.7

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  267. 無線LANの受信電波強度分布間類似度による方向推定手法 Reviewed

    伊藤誠悟,佐藤弘和,河口信夫

    情報処理学会論文誌   Vol. Vol.47 ( No.1 ) page: 51-62   2006.1

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  268. Characterizing in-car conversational speech of different dialogue modes

    Fujimura Hiroshi, Miyajima Chiyomi, Kawaguchi Nobuo, Itou Katsunobu, Takeda Kazuya, Itakura Fumitada

    ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS     page: 552-+   2006

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  269. Dialogue Structure Annotation of In-car Speech Corpus based on Speech-Act Tag

    Shingo Kato, Shigeki Matsubara, Yukiko Yamaguchi, Nobuo Kawaguchi

        page: 159-163   2005.12

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  270. 対話構造木コーパスを用いた発話意図予測

    加藤真吾,松原茂樹,山口由紀子,河口信夫

    第7回音声言語シンポジウム論文集(情報処理学会研究報告(SIG-SLP-59))     page: 73-78   2005.12

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  271. 多様な接続手法に対応したデスクトップ画面共有システム Reviewed

    根岸佑也,河口信夫

    電気学会論文誌 C電子・情報・システム部門誌   Vol. Vol.125-C, No.12   page: 1882-1890   2005.12

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  272. 無線LANを用いた測位ポータルlocky.jpにおける位置情報サービス

    吉田廣志,伊藤誠悟,河口信夫

    情報処理学会グループウェアおよびネットワークサービス研究会   Vol. GNWS2005   2005.11

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  273. WebCodget: Webサーバに移動して動作する組込み機器向け移動ソフトウェア 

    河口信夫,春原雅志

    情報処理学会ユビキタスコンピューティング研究会   Vol. 2005-UBI-009   2005.11

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  274. XCAST技術のデプロイメントとプロモーションイベントの評価

    田中和也,河口信夫

    情報処理学会グループウェアとネットワークサービスワークショップ2005   Vol. GNWS2005   page: 1-6   2005.11

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  275. 指向性アンテナを用いた無線LANアクセスポイントの位置推定手法 Reviewed

    佐藤弘和, 伊藤誠悟, 河口信夫

    電子情報通信学会 和文論文誌D-I 特集号 ユビキタス社会構築のためのネットワークに対する理論とその応用小特集   Vol. Vol.J88-D-I, No.11   page: 1634-1647   2005.11

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  276. Construction of Structurally Annotated Spoken Dialogue Corpus

    Shingo Kato, Shigeki Matsubara, Yukiko Yamaguchi, Nobuo Kawaguchi

    Proceedings of IJCNLP-2005 Workshop on Asian Language Resources   Vol. ALR2005   page: 40-47   2005.10

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  277. 大学における社会人向け組込みソフトウェア技術者人材養成の実施と分析 Reviewed

    山本雅基,阿草清滋,高田広章,間瀬健二,富山宏之,河口信夫,本田晋也,金子伸幸

    SEC journal   Vol. No.1, Vol.4   page: 36-45   2005.10

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  278. NEXCESS: Nagoya University Extension Courses for Embedded Software Specialists

    Masaki Yamamoto, Hiroyuki Tomiyama, Hiroaki Takada, Kiyoshi Agusa, Kenji Mase, Nobuo Kawaguchi, Shinya Honda, Nobuyuki Kaneko

    SIGBED Review   Vol. Vol.2, No.4   page: 20-24   2005.10

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  279. 音声対話コーパスにおける発話意図タグの設計と評価 Reviewed

    入江友紀,松原茂樹,河口信夫,山口由紀子,稲垣康善

    電子情報通信学会論文誌   Vol. Vol.J88-D-II, No.10   page: 2169-2173   2005.10

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  280. NEXCESS: Nagoya University Extension Courses for Embedded Software Specialists

    Masaki Yamamoto, Hiroyuki Tomiyama, Hiroaki Takada, Kiyoshi Agusa, Kenji Mase, Nobuo Kawaguchi, Shinya Honda, Nobuyuki Kaneko

    Proceedings of 2005 Workshop on Embedded Systems Education, WESE2004   Vol. WESE2005   page: 16-20   2005.9

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  281. Orientation Estimation Method and Orientation-Location Based Service Using Wireless LAN

    Seigo Ito, Nobuo Kawaguchi

      Vol. Ubicomp2005   2005.9

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  282. Towards Robust Spoken Dialogue System Using Large-Scale In-car Speech Corpus

    Yukiko Yamaguchi, Keita Hayashi, Takahiro Ono, Shingo Kato, Yuki Irie, Tomohiro Ohno, Hiroya Murao, Shigeki Matsubara, Nobuo Kawaguchi, Kazuya Takeda

    Proceedings of Workshop on DSP for in-Vehicle and Mobile Systems   Vol. DSP-in-Car2005   2005.9

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  283. Construction and Utilization of Bilingual Speech Corpus for Simultaneous Machine Interpretation Research

    Hitomi Tohyama, Shigeki Matsubara, Nobuo Kawaguchi,Yasuyoshi Inagaki

    Proceedings of 9th European Conference on Speech Communication and Technology   Vol. Eurospeech2005   page: 1585-1588   2005.9

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  284. XCASTを用いたオンラインコミュニケーション支援

    田中和也,河口信夫

    地域ネットワーク連携ワークショップ 2005 in 沖縄     2005.9

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  285. locky.jp: 無線LANを用いた位置情報・測位ポータル

    伊藤誠悟,河口信夫

    情報処理学会研究報告 モバイルコンピューティングとユビキタス通信   Vol. 2005-MBL-34(4)   page: 25-31   2005.9

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  286. 研究開発用テストベッドネットワークJGNIIについて

    河口信夫

    名古屋大学情報連携基盤センターニュース   Vol. Vol.4, No.3   page: 196-199   2005.8

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  287. ユーザインタフェースの遠隔操作による機器間連携

    根岸佑也, 河口信夫

    情報処理学会マルチメディア、分散、協調とモバイル(DICOMO)シンポジウム論文集   Vol. DICOMO2005 No.6   page: 73-76   2005.7

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  288. XCASTを用いた統合コミュニケーション環境の構築

    田中和也,河口信夫

    情報処理学会マルチメディア,分散,協調とモバイル(DICOMO2005)シンポジウム   Vol. DICOMO2005   page: 13-16   2005.7

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  289. 話し言葉解析に基づく話者知識の自動獲得

    小野貴博,大野誠寛,松原茂樹,山口由紀子,河口信夫,吉川正俊

    人工知能学会2005年全国大会   Vol. 1E1-04   2005.6

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  290. Position Estimation of Wireless Access Point using Directional Antennas

    Hirokazu Satoh, Seigo Ito and Nobuo Kawaguchi

    International Workshop on Location- and Context-Awareness (LoCA 2005)   Vol. LNCS 3479   page: 144-156   2005.5

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  291. VPcogma: A Light-Weight Cooperative Middleware for Ubiquitous Embedded Devices

    Nobuo Kawaguchi

    International Workshop on Software Architectures for Self-Organization(SASO'05) with Pervasive2005   Vol. SASO2005   2005.5

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  292. 名古屋大学情報セキュリティ対策推進室の活動

    竹内義則,山口由紀子,河口信夫,山里敬也,長谷川明生,坂部俊樹

    情報処理学会研究報告   Vol. 2005-CSEC-29(1)   2005.5

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  293. Design, Implementation and Evaluations of a Direction Based Service System for both Indoor and Outdoor Reviewed

    Yohei Iwasaki, Nobuo Kawaguchi, Yasuyoshi Inagaki

    Ubiquitous Computing Systems   Vol. LNCS, 3598   page: 20-36   2005.5

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  294. Bayesian Based Location Estimation System Using Wireless LAN

    Seigo ITO, Nobuo KAWAGUCHI

    Proceedings of Third IEEE International Conference on Pervasive Computing and Communications Workshops   Vol. IEEE Computer Society Order Number P2300   page: 273-278   2005.3

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  295. 発話意図タグに基づく対話構造の記述

    加藤真吾,松原茂樹,山口由紀子,河口信夫

    言語処理学会第11回年次大会発表論文集     page: 129-132   2005.3

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  296. Robust Dependency Parsing of Spontaneous Japanese Spoken Language

    Tomohiro OHNO, Shigeki MATSUBARA, Nobuo KAWAGUCHI, Yasuyoshi INAGAKI

    IEICE Transactions on Information and Systems   Vol. Vol.E88-D No.3   page: 545-552   2005.3

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  297. Azim: Direction Based Service System for both Indoor and Outdoor Reviewed

    Yohei Iwasaki, Nobuo Kawaguchi, Yasuyoshi Inagaki

    IEICE Transactions on Communications   Vol. Vol.E88-B, No.3   page: 1034-1044   2005.3

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  298. CIAIR In-Car Speech Corpus--Influence of Driving Status-- Reviewed

    Nobuo KAWAGUCHI, Shigeki MATSUBARA, Kazuya TAKEDA, Fumitada ITAKURA

    IEICE Transactions on Information and Systems   Vol. Vol.E88-D No.3   page: 578-582   2005.3

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  299. Construction and Evaluation of a Large In-Car Speech Corpus Reviewed

    Kazuya TAKEDA, Hiroshi FUJIMURA, Katsunobu ITOU, Nobuo KAWAGUCHI, Shigeki MATSUBARA, Fumitada ITAKURA

    IEICE Transactions on Information and Systems   Vol. Vol.E88-D No.3   page: 553-561   2005.3

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  300. 指向性アンテナを用いた無線LAN基地局位置推定手法に基づく基地局探索支援システムの設計と実装

    佐藤弘和, 伊藤誠悟, 河口信夫

    情報処理学会第67回全国大会     2005.3

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  301. 話し言葉解析に基づく対話データからの情報抽出

    小野貴博,大野誠寛,松原茂樹,山口由紀子,河口信夫,吉川正俊

    2005年電子情報通信学会総合大会     2005.3

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  302. CIAIR車内音声対話コーパスにおける発話意図タグの設計と評価

    入江友紀,松原茂樹,河口信夫,山口由紀子,稲垣康善

    自然言語処理学会     2005.3

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  303. ベイズ推定を用いた位置推定システムと応用アプリケーション

    伊藤誠悟,佐藤弘和,河口信夫

    情報処理学会第67回全国大会   Vol. Vol-3   page: 755-756   2005.3

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  304. Example-Based Query Generation for Spontaneous Speech

    Hiroya MURAO, Nobuo KAWAGUCHI, Shigeki MATSUBARA, Yasuyoshi INAGAKI

    IEICE Transactions on Information and Systems   Vol. Vol.E88-D No.2   page: 324-329   2005.2

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  305. 無線LANの電波強度分布類似度を用いた方向推定手法

    伊藤誠悟,佐藤弘和,河口信夫

      Vol. DICOMO2005   page: 557-560   2005

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  306. Touch-and-Connect: ユビキタス環境における接続指示フレームワーク Reviewed

    岩崎陽平,河口信夫,稲垣康善

    情報処理学会論文誌   Vol. Vol.45, No.12   page: 2642-2654   2004.12

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  307. CIAIR Simultaneous Interpretation Corpus

    Hitomi Tohyama, Shigeki Matsubara, Koichiro Ryu, Nobuo Kawaguch, Yasuyoshi Inagaki

      Vol. Oriental COCOSDA 2004   2004.11

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  308. Design, Implementation and Evaluations of a Direction Based Service System for both Indoor and Outdoor

    Yohei Iwasaki, Nobuo Kawaguchi and Yasuyoshi Inagaki

    2nd International Symposium on Ubiquitous Computing Systems (UCS 2004)     page: 7-14   2004.11

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  309. Design and Evaluation of Layered Intention Tag In-Car Speech Corpus

    Yuki Irie, Shigeki Matsubara, Nobuo Kawaguchi, Yukiko Yamaguchi and Yasuyoshi Inagaki

    Proceedings of Oriental-COCOSDA-2004   Vol. Oriental COCOSDA2004   2004.11

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  310. 指向性アンテナを用いた無線LANアクセスポイントの位置推定

    佐藤弘和, 河口信夫, 稲垣康善

    情報処理学会 ユビキタスコンピューティングシステム研究会 第6回研究発表会研究報告   Vol. Vol.2004, No.112   page: 15-20   2004.11

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  311. CONSTRUCTION AND ANALYSIS OF A MULTI-LAYERED IN-CAR SPOKEN DIALOGUE CORPUS Reviewed

    Nobuo Kawaguchi, Shigeki Matsubara, Itsuki Kishida, Yuki Irie, Hiroya Murao, Yukiko Yamaguchi, Kazuya Takeda and Fumitada Itakura

    DSP for In-Vehicle and Mobile Systems   Vol. Huseyin Abut (Editor), John H.L. Hansen (Editor), Kazuya Takeda (Editor)   2004.11

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  312. CIAIR In-Car Speech Database

    Nobuo KAWAGUCHI, Shigeki MATSUBARA, Yukiko YAMAGUCHI, Kazuya TAKEDA, Fumitada ITAKURA

    INTERSPEECH2004     2004.10

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  313. Robust Dependency Parsing of Spontaneous Japanese Speech and Its Evaluation

    Tomohiro Ohno, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki

    The 8th International Conference on Spoken Language Processing (INTERSPEECH 2004-ICSLP)   Vol. INTERSPEECH 2004-ICSLP   2004.10

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  314. cogma : A Universal Middleware for Ubiquitous Information Environment

    Nobuo Kawaguchi

    Middleware 2004 Poster session   Vol. Workshops on Middeware2004   page: 329   2004.10

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  315. Speech Intention Understanding based on Decision Tree Learning

    Yuki Irie, Shigeki Matsubara, Nobuo Kawaguchi, Yukiko Yamaguchi and Yasuyoshi Inagaki

    Proceedings of 8th International Conference on Spoken Language Processing   Vol. INTERSPEECH 2004-ICSLP   2004.10

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  316. Speech Understanding, Dialogue Management and Response Generation in Corpus-Based Spoken Dialogue System

    Keita Hayashi, Yukiko Yamaguchi, Shigeki Matsubara, Nobuo Kawaguchi

    Proceedings of 8th International Conference on Spoken Language Processing   Vol. INTERSPEECH 2004-ICSLP   2004.10

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  317. Example-based Spoken Dialogue System with Online Example Augmentation

    Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara, and Yukiko Yamaguchi, Yasuyoshi Inagaki

    Proceedings of 8th International Conference on Spoken Language Processing   Vol. Interspeech-ICSLP 2004   2004.10

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  318. 実環境における無線LANを用いた位置推定システムとその応用

    伊藤誠悟、河口信夫

    情報処理学会研究会   Vol. IPSJ-SIG-MBL-30(5)   page: 33-40   2004.9

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  319. 意図タグ出現パターンに基づく対話の構造解析

    加藤真吾,松原茂樹,山口由紀子,河口信夫

    2004年度電気関係学会東海支部連合大会     2004.9

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  320. 多様な接続手法に対応したデスクトップ画面共有システム

    根岸 佑也, 河口 信夫

    2004年度電気関係学会東海支部連合大会     2004.9

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  321. CIAIR同時通訳データベース -設計・構築・分析-

    遠山 仁美,松原 茂樹,笠 浩一朗,河口 信夫, 稲垣 康善

    電気関係学会東海支部連合大会講演論文集     2004.9

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  322. 多様な接続手法に対応したデスクトップ画面共有システム

    根岸佑也,河口信夫

    第3回SPAサマーワークショップ     2004.8

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  323. アドホックネットワークにおける機器間の新しい信頼関係--機能に基づく認証方式の提案--

    Karim Hamzaoui, 河口 信夫

    第3回SPAサマーワークショップ     2004.8

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  324. 名古屋大学における無線ネットワークとセキュリティ調査について

    河口信夫

    名古屋大学情報連携基盤センターニュース   Vol. Vol.3, No.3   page: 117-120   2004.8

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  325. CIAIR同時通訳データベースの構築と利用

    遠山仁美, 松原茂樹, 笠浩一朗, 河口信夫, 稲垣康善

    信学技報   Vol. Vol.104, No.170. TL2004-1~11   page: 7-12   2004.7

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  326. アドホックネットワークにおける機器間の新しい信頼関係--機能に基づく認証方式の提案-- Reviewed

    Karim Hamzaoui, 河口 信夫

    マルチメディア,分散,協調とモバイル(DICOMO2004)シンポジウム   Vol. Vol2004,No.7   page: 5-8   2004.7

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  327. ユビキタス情報環境における履歴を用いた機器操作支援手法

    河口信夫,宮崎俊和,稲垣康善

    情報処理学会ユビキタスコンピューティング研究会/映像情報メディア学会技術報告   Vol. 2004-UBI-4(11)   page: 57-62   2004.4

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  328. Azim: Direction Based Service using Azimuth Based Position Estimation

    Yohei Iwasaki, Nobuo Kawaguchi, Yasuyoshi Inagaki

    THE 24th INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2004)   Vol. ICDCS2004   page: 700-709   2004.3

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  329. ユビキタス情報機器の操作履歴に基づくユーザ支援

    宮崎 俊和,河口 信夫,稲垣 康善

    第7回プログラミングおよび応用のシステムに関するワークショップ   Vol. SPA2004   2004.3

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  330. ソフトウェアの動的更新におけるデータ変換のためのXSLコード作成支援

    佐伯 智之,河口 信夫,稲垣 康善

    第7回プログラミングおよび応用のシステムに関するワークショップ   Vol. SPA2004   2004.3

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  331. CIAIR車内音声対話コーパスを用いた対話フロー解析

    加藤真吾, 入江友紀, 山口由紀子, 松原茂樹, 河口信夫

    情報処理学会全国大会   Vol. Vol.2   page: 157-158   2004.3

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  332. コーパスに基づく発話理解・対話制御・応答生成-コーパスベース音声対話システムの構築-

    林啓太, 入江友紀, 山口由紀子, 松原茂樹, 河口信夫

    情報処理学会全国大会   Vol. Vol.2   page: 167-168   2004.3

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  333. 同時通訳研究のための対訳コーパスの設計と構築

    遠山仁美,松原茂樹,笠浩一朗,河口信夫,稲垣康善

    言語処理学会第11回年次大会発表論文集     page: 966-969   2004.3

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  334. 同時通訳コーパスを用いた通訳単位の統語的分析

    笠 浩一朗,松原 茂樹,河口 信夫,稲垣 康善

    情報処理学会第66回全国全国大会講演論文集     2004.3

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  335. MULTIMEDIA CORPUS OF IN-CAR SPEECH COMMUNICATION Reviewed

    Nobuo Kawaguchi, Kazuya Takeda and Fumitada Itakura

    Journal of VLSI Signal Processing   Vol. Vol. 36, Issue 2   page: 153-159   2004.2

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  336. CIAIR IN-CAR SPOKEN DIALOGUE CORPUS AND ITS APPLICATION

    Nobuo Kawaguchi, Shigeki Matsubara, Hiroya Murao, Itsuki Kishida, Yuki Irie, Yukiko Yamaguchi, Kazuya Takeda, and Fumitada Itakura

    Proc. in Special Workshop in MAUI (SWIM)   Vol. SWIM2004   2004.1

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  337. Cogma: A Middleware for Cooperative Smart Appliances for Ad hoc Environment

    Nobuo Kawaguchi

    Proc. of International Conference on Mobile Computing and Ubiquitous Networking   Vol. ICMU2004   page: 146-151   2004.1

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  338. CIAIR車内音声対話コーパスを用いた対話フロー解析

    加藤真吾,入江友紀,山口由紀子,松原茂樹,河口信夫

    2004春期情報処理学会全国大会     2004

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  339. コーパスに基づく発話理解・対話制御・発話生成 -コーパスベース音声対話システムの構築-

    林啓太,入江友紀,山口由紀子,松原茂樹,河口信夫

    情報処理学会全国大会2004年春期     2004

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  340. CIAIR 実走行車内音声データベース

    河口信夫,松原茂樹, 山口由紀子,武田一哉,板倉文忠

    第5回音声言語シンポジウム論文集(情報処理学会研究報告)   Vol. SPLC2003(2003-SLP-49)No.49   page: 139-144   2003.12

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  341. WOZによるオンライン修正が可能な事例ベース音声対話システム

    村尾浩也, 河口信夫, 松原茂樹, 山口由紀子, 武田一哉, 稲垣康善

    情報処理学会研究報告   Vol. 2003-SLP-49 No.124   page: 269-274   2003.12

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  342. RICA:動的にサービス構成の変更が可能な分散ディスプレイシステム

    斉藤功治,河口信夫,稲垣康善

    インタラクティブシステムとソフトウェアに関するワークショップ(日本ソフトウェア科学会資料シリーズ)   Vol. WISS2003   page: 129-134   2003.12

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  343. 同時通訳を介した異言語間対話の時間的特徴--逐次通訳との比較に基づく対訳コーパスの分析

    大原誠, 松原茂樹, 笠浩一朗, 河口信夫, 稲垣康善

    通訳研究(日本通訳学会誌)   Vol. No.3   page: 35-53   2003.12

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  344. VPcogma: 組み込み機器を対象としたバイナリポータブルなユビキタス環境構築ミドルウェア

    河口信夫, 金岡弘記, 木曽陽一, 細川勲

    情報処理学会研究報告   Vol. 2003-UBI-2 No.115   page: 97-98   2003.11

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  345. Azim:方向センサを用いたユビキタス位置情報サービス

    岩崎陽平, 河口信夫, 稲垣康善

    情報処理学会研究報告   Vol. 2003-UBI-2 No.115   page: 25-30   2003.11

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  346. An Advanced Japanese Speech Corpus for In-Car Spoken Dialogue Research

    Yuki Irie, Nobuo Kawaguchi, Shigeki Matsubara, Itsuki Kishida, Yukiko Yamaguchi, Kazuya Takeda, Fumitada Itakura, and Yasuyoshi Inagaki

    International Coordinating Committee on Speech Databases and Speech I/O System Assessment   Vol. Oriental COCOSDA-2003   page: 209-216   2003.10

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  347. Spiral Construction of Syntactically Annotated Spoken Language Corpus

    Tomohiro Ohno, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inaga

    Proceedings of 2003 IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLPKE-2003)   Vol. NLPKE-2003   page: 477-483   2003.10

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  348. Bilingual Speech Dialogue Corpus for Simultaneous Machine Interpretation Research

    Koichiro Ryu, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki

    International Coordinating Committee on Speech Databases and Speech I/O System Assessment   Vol. Oriental COCOSDA-2003   page: 217-224   2003.10

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  349. ユビキタス情報環境の構築と利用

    河口信夫

    平成15年度電気関係学会東海支部連合大会講演論文集     page: 77-78   2003.10

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  350. Construction of an Advanced In-Car Spoken Dialogue Corpus and its Characteristic Analysis

    Itsuki Kishida, Yuki Irie, Yukiko Yamaguchi, Shigeki Matsubara, Nobuo Kawaguchi and Yasuyoshi Inagaki

    The 8th European Conference on Speech Communication and Technology   Vol. EUROSPEECH2003   page: 15811584   2003.9

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  351. ユビキタス情報環境を実現する基盤ソフトウェア

    河口信夫

    情報学ワークショップ(WiNF2003)論文集   Vol. WINF2003   page: 97-100   2003.9

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  352. 音声・映像・運転行動コーパスを用いた車内情報インタフェース研究

    武田一哉, 河口信夫, アブット・フセイン, 板倉文忠

    第2回情報科学技術フォーラム   Vol. FIT2003   page: 4-5   2003.9

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  353. 安心で快適な次世代ユビキタスネットワークサービスを目指して

    河口信夫

    名古屋大学情報連携基盤センターニュース   Vol. Vol.2, No.3   page: 274-275   2003.8

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  354. 意図タグつきコーパスを用いた発話意図推定手法

    入江友紀, 松原茂樹, 河口信夫, 山口由紀子, 稲垣康善

    人工知能学会研究会資料   Vol. SIG-SLUD-A301-03   page: 7-12   2003.6

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  355. ユビキタス環境におけるモバイルエージェントを用いたソフトウェアの動的更新手法

    佐伯智之, 河口信夫, 稲垣康善

    情報処理学会マルチメディア、分散、協調とモバイル(DICOMO2003)シンポジウム論文集   Vol. DICOMO2003 No.9   page: 593-596   2003.6

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  356. 動的に連携可能な情報提示型サービス機器とその利用手法の提案

    斉藤功治, 河口信夫, 稲垣康善

    情報処理学会マルチメディア、分散、協調とモバイル(DICOMO)シンポジウム論文集   Vol. DICOMO2003 No.9   page: 689692   2003.6

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  357. 耐タンパハードウェアを用いたモバイルエージェント保護手法 Reviewed

    春木洋美, 河口信夫, 稲垣康善

    情報処理学会論文誌   Vol. Vol.44,No.6   page: 1613-1624   2003.6

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  358. Example-based Spoken Dialogue System using WOZ System Log

    Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara, Yukiko Yamaguchi and Yasuyoshi Inagaki

    The 4th SIGdial Workshop on Discours and Dialogue   Vol. SIGDIAL2003   page: 140-148   2003.6

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  359. 名古屋大学無線ネットワーク実証実験

    河口信夫

    名古屋大学情報連携基盤センターニュース   Vol. Vol.2, No.2   page: 117-120   2003.5

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  360. CONSTRUCTION AND ANALYSIS OF THE MULTI-LAYERED IN-CAR SPOKEN DIALOGUE CORPUS

    Nobuo Kawaguchi, Shigeki Matsubara, Itsuki Kishida, Yuki Irie, Yukiko Yamaguchi, Kazuya Takeda, Fumitada Itakura

    The Workshop on DSP in Mobile and Vehicular Systems   Vol. DSP-in-cars   2003.4

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  361. データ構造の変更に対応したソフトウェアの動的更新手法

    佐伯智之, 河口信夫, 稲垣康善

    第6回プログラミングおよび応用のシステムに関するワークショップ(Sysems for Programming and Applications)   Vol. SPA2003   2003.3

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  362. 多様なコンテンツに対するメディアメタデータの付与とその利用

    古田恒志, 河口信夫, 稲垣康善

    情報処理学会研究報告,「グループウェアとネットワークサービス」   Vol. 2003-GN-47 No.33   page: 55-60   2003.3

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  363. 大規模音声言語コーパスの高度化と走行車内音声対話の特徴分析

    岸田樹, 入江友紀, 山口由紀子, 松原茂樹、河口信夫, 稲垣康善

    言語処理学会第9回年次大会発表論文集     page: 133-136   2003.3

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  364. 統計的構文解析器を用いた音声言語係り受けコーパスの構築

    大野誠寛,松原茂樹,河口信夫,稲垣康善

    言語処理学会第9回年次大会発表論文集     page: 703-706   2003.3

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  365. 日本語音声対話文の統計的係り受け解析とその評価

    大野誠寛, 松原茂樹, 河口信夫, 稲垣康善

    情報処理学会第65回全国大会講演論文集   Vol. Vol.2   page: 1-2   2003.3

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  366. Touch-and-Connect:A Connection Request Framework for Ad-Hoc Networks and the Pervasive Computing Environment

    Yohei Iwasaki, Nobuo Kawaguchi and Yasuyoshi Inagaki

    The 1st IEEE International Conference on Pervasive Computing and Communications   Vol. PerCom2003   page: 20-29   2003.3

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  367. 汎用音声認識エンジンJulius/JulianのPDAへの移植と性能評価

    原 直,河口 信夫,武田 一哉,板倉 文忠

    情報処理学会研究会, 音声言語情報処理   Vol. 2002-SLP-45-22   page: 131-136   2003.2

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  368. 拡張性を備えたオープンな電話対話システム開発ツールTEDDI

    伊藤和明, 山口由紀子, 河口信夫, 松原茂樹, 稲垣康善

    第4回音声言語シンポジウム論文集(情報処理学会研究報告)   Vol. 2002-SLP-44 No.121   page: 153-158   2002.12

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  369. WOZシステムのログ情報を利用した事例ベース音声対話システムの開発

    村尾浩也, 河口信夫, 松原茂樹, 山口由紀子, 稲垣康善

    第4回音声言語シンポジウム論文集(情報処理学会研究報告)   Vol. 2002-SLP-44 No.121   page: 135-140   2002.12

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  370. 音声対話システム発話に関する嗜好調査

    青山龍, 山口由紀子, 河口信夫, 松原茂樹, 稲垣康善

    人間工学東海支部2002年研究大会     page: 47-48   2002.11

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  371. 音声対話システムのための事例の基づく発話生成手法の提案

    青山龍, 松原茂樹, 河口信夫, 稲垣康善

    平成13年度電気関係学会東海支部連合大会講演論文集     2002.11

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  372. 対話同時通訳コーパスの構築とその特徴分析

    大原誠, 松原茂樹, 笠浩一郎, 河口信夫, 稲垣康善

    電子情報通信学会技術研究報告   Vol. TL2002-25, Vol.102, No.412   page: 5-10   2002.10

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  373. 情報提示機器を用いた情報共有手法の提案

    斉藤功治, 河口信夫, 稲垣康善

    電気関係学会東海支部連合大会     2002.9

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  374. 係り受けに基づく話し言葉コーパスの統計的分析

    大野 誠寛,村瀬 隆久,松原 茂樹,河口 信夫,稲垣 康善

    電気関係学会東海支部連合大会講演論文集     page: 245   2002.9

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  375. 拡張性を備えた対話システム開発ツールの構築

    伊藤和明, 山口由紀子, 河口信夫, 松原茂樹, 稲垣康善

    第1回情報科学技術フォーラム(FIT2002)論文集     page: 209-210   2002.9

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  376. 音声対話コーパスを用いた発話の重なりの分析

    岸田樹, 松原茂樹, 河口信夫, 山口由紀子, 稲垣康善

    電気関係学会東海支部連合大会講演論文集   Vol. No.500   2002.9

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  377. 文末の表層情報を用いた発話行為タグ推定

    入江友紀, 松原茂樹, 河口信夫,山口由紀子, 稲垣康善

    電気関係学会東海支部連合大会講演論文集   Vol. No.497   2002.9

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  378. 情報提示機器を用いた情報共有手法の提案

    斉藤功治, 河口信夫, 稲垣康善

    第1回SPAサマーワークショップ   Vol. SPA-SUMMER2002   2002.8

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  379. Touch-and-Connect:無線機器間の直接的な接続指示手法

    岩崎陽平, 河口信夫, 稲垣康善

    第1回SPAサマーワークショップ   Vol. SPA-SUMMER2002   2002.8

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  380. Stochastic Dependency Parsing of Spontaneous Japanese Spoken Language

    Shigeki Matsubara, Takahisa Murase, Nobuo Kawaguchi, and Yasuyoshi Inagaki

    The 17th International Conference on Computational Linguistics   Vol. COLING-2002   2002.8

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  381. Example-based Speech Intention Understanding and Its Application to In-Car Spoken Dialogue System

    Shigeki Matsubara, Shinichi Kimura, Nobuo Kawaguchi, Yukiko Yamaguchi, and Yasuyoshi Inagaki

    The 17th International Conference on Computational Linguistics   Vol. COLING-2002,Vol.2   page: 633-639   2002.8

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  382. モバイルネットワーク上におけるメディアメタデータの付与とその活用

    古田恒志 , 河口信夫, 稲垣康善

    マルチメディア,分散,協調とモバイルシンポジウム   Vol. DICOMO2002   page: 233-236   2002.7

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  383. An Example-based Approach to Speech Interntion Understanding

    Shinichi Kimura, Shigeki Matsubara, Nobuo Kawaguchi, Yukiko Yamaguchi and Yasuyoshi Inagaki

    The 6th World Multiconference on Systemics,Cybernetics and Informatics(SCI-2002)   Vol. SCI-2002, Vol.Ⅸ   page: 348-353   2002.7

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  384. Design and Development Tool for Telephone-based Network Information System

    Yukiko Yamaguchi, Kazuaki Ito, Nobuo Kawaguchi, Shigeki Matsubara, and Yasuyoshi Inagaki

    The 6th World Multiconference on Systemics,Cybernetics and Informatics   Vol. SCI-2002,Vol.Ⅲ   page: 285-290   2002.7

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  385. Appliance Bonding:情報家電間連携の動的な指示手法

    河口信夫, 梶克彦, 稲垣康善

    情報処理学会 情報家電コンピューティング研究グループ,第3回研究会予講集     page: 29-34   2002.6

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  386. 音声対話コーパスの収集と利用-より豊かな車内音声対話システムを目指して-

    松原茂樹, 河口信夫, 外山勝彦, 武田一哉

    人工知能学会誌   Vol. Vol.17,No.3   page: 279-284   2002.5

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  387. A Corpus-based Analysis of Simultaneous Interpretation

    AkiraTakagi, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki

    International Joint Conference of the 5th Symposium on Natural Language Processing   Vol. SNLP-2002   page: 167-174   2002.5

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  388. Multi-Dimensional Data Acquisition for Integrated Acoustic Information Research

    Nobuo Kawaguchi, Shigeki Matsubara, Kazuya Takeda, and Fumitada Itakura

    The 3rd International Conferece on Language Resources and Evalution   Vol. LREC-2002,Vol.Ⅰ   page: 2043-2046   2002.5

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  389. Bilingual Spoken Monologue Corpus for Simultaneous Machine Interpretation Reserch

    Shigeki Matsubara, Akira Takagi, Nobuo Kawaguchi, and Yasuyoshi Inagaki

    The 3rd International Conference on Language Resources and Evalution   Vol. LREC-2002,Vol.Ⅰ   page: 153-159   2002.5

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  390. CIAIR speech corpus for real world speech recognition

    Nobuo Kawaguchi, Kazuya Takeda, Shigeki Matsubara, Ikuya Yokoo, Taisuke Ito, Kiyoshi Tatara, Tetsuya Shinde and Fumitada Itakura

    International Joint Conference of the 5th Symposium on Natural Language Processing   Vol. SNLPoCOCOSDA-2002   page: 288-295   2002.5

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  391. 無線機器間の直観的な接続指示手法

    岩崎陽平, 河口信夫, 稲垣康善

    情報処理学会研究報告   Vol. 2002-DPS-107   page: 13-18   2002.3

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  392. 同時通訳コーパスを用いた通訳者発声タイミングの分析

    高木亮, 松原茂樹, 河口信夫, 稲垣康善

    言語処理学会     2002.3

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  393. 音声対話処理における係り受け解析への統計情報の利用

    村瀬隆久, 松原茂樹, 河口信夫, 稲垣康善

    言語処理学会第8回年次大会発表論文集     2002.3

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  394. モバイルエージェントシステムにおけるオンデマンドコード移送とバージョン管理

    植田智, 河口信夫, 稲垣康善,

    情報処理学会全国大会     2002.3

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  395. 車内音声対話システムのための事例に基づく発話意図推定

    木村晋一, 松原茂樹, 河口信夫, 山口由紀子, 稲垣康善

    情報処理学会研究報告   Vol. SIG-SLP-40   page: 115-120   2002.2

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  396. 係り受け関係を用いた発話意図推定手法

    木村晋一, 松原茂樹, 河口信夫, 稲垣康善

    情報処理学会研究報告   Vol. SIG-SLP-40   page: 115-120   2002.2

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  397. X-Win32+SSHを使ってみよう

    河口信夫, 瀬川午直, 奥村小百合

    名古屋大学大型計算機センター ニュース   Vol. Vol.33, No.1   page: 14-22   2002.2

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  398. 実走行車内音声対話データベース

    河口信夫, 松原茂樹, 武田一哉, 板倉文忠, 稲垣康善

    電子情報通信学会議技術研究報告   Vol. SP-2001-107,Vol.101,No.523   page: 31-36   2001.12

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  399. 同時通訳コーパスの設計と構築

    松原茂樹, 相澤靖之, 河口信夫, 外山勝彦, 稲垣康善

    通訳研究 日本通訳学会   Vol. No.1   page: 85-102   2001.12

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  400. Example-Based Query Generation for Spontaneous Speech

    Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara, and Yasuyoshi Inagaki

    The 7th IEEE workshop on Automatic Speech Recognition and Understanding   Vol. ASRU01   2001.12

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  401. cogma:動的ネットワーク環境における組み込み機器間の連携ミドルウェア

    河口信夫, 稲垣康善

    情報処理学会コンピュータシステム・シンポジウム     page: 1-8   2001.11

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  402. 無線機器間の接続インターフェースの提案と実装

    岩崎陽平, 河口信夫, 稲垣康善

    平成13年度電気関係学会東海支部連合大会講演論文集     2001.11

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  403. Flexible Group Management on Ad Hoc Network Using Mobile Agents

    Yuuki Miyagoshi, Nobuo Kawaguchi, and Yasuyoshi Inagaki

    The 4th International Symposium on Wireless Personal Multimedia Communications   Vol. WPMC2001   page: 835-840   2001.9

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  404. Multimedia Data Collection of In-Car Speech Communication

    Nobuo Kawaguchi, Shigeki Matsubara, Kazuya Takeda, and Fumitada Itakura

    The 7th European Conference on Speech Communication and Technology   Vol. EUROSPEECH2001   page: 2027-2030   2001.9

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  405. Multi-Link Ad-Hoc Communicaion System based on Mobile Agents

    Nobuo Kawaguchi, Yasuyoshi Inagaki

    The ACIS 2nd International Conference on Software Engineering, Artificial Intelligence, Networking&Parallel/Distributed Computing   Vol. SNPD'01   page: 311-318   2001.8

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  406. 耐タンパハードウェアを用いたモバイルエージェント保護手法

    春木洋美, 河口信夫, 稲垣康善

    マルチメディア,分散,協調とモバイルシンポジウム論文集   Vol. DICOMO2001   page: 43-48   2001.7

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  407. 統計データを用いた話し言葉音声の係り受け解析

    松原茂樹, 佐藤利光, 河口信夫, 稲垣康善

    情報処理学会研究報告   Vol. Vol2001,No.54(NL-143)/No.55(SLP-36)   page: 23-28   2001.6

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  408. 複数の音声対話システムの統合制御機構とその評価

    河口信夫, 長森誠, 松原茂樹, 稲垣康善

    情報処理学会研究報告   Vol. Vol.2001,No.54(NL-143)/No.55(SLP-36)   page: 63-70   2001.6

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  409. 走行車室内音声対話収録システムの開発

    河口信夫, 牛窪誠一, 松原茂樹, 岩博之, 梶田将司, 武田一哉, 板倉文忠

    電子情報通信学会論文誌   Vol. D-Ⅱ,Vol.J84-DⅡ,No.6   page: 909-917   2001.6

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  410. 無線LAN技術の現状とその導入

    河口信夫

    名古屋大学大型計算機センターニュース   Vol. Vol.32, No.1   page: 42-52   2001.2

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  411. 実走行車内音声対話コーパスの設計と特徴

    河口信夫, 松原茂樹, 若松佳宏, 梶田将司, 武田一哉, 板倉文忠, 稲垣康善

    情報処理学会研究報告   Vol. Vol2000,No.199(SLP-34)   page: 179-184   2000.12

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  412. 対話事例を利用した音声対話システム

    村尾浩也, 河口信夫, 松原茂樹, 稲垣康善

    情報処理学会研究報告   Vol. Vol.2000,No.199(SLP-34)   page: 197-202   2000.12

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  413. Ad-Hoc On-Demand Communication System based on Mobile Agents

    Nobuo Kawaguchi,Yasuyoshi Inagaki

    The 3rd International Symposium on Wireless Personal Multimedia Communications   Vol. WPMC2000   page: 1061-1066   2000.11

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  414. Construction of Speech Corpus in Moving Car Enviroment

    Nobuo Kawaguchi, Shigeki Matsubara, Hiroyuki Iwa, Shoji Kajita, Kazuya Takeda, Fumitada Itakura and Yasuyoshi Inagaki

    The 6th International Conference on Spoken Language Processing   Vol. ICSLP2000   page: 362-365   2000.10

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  415. 音声翻訳研究のための話し言葉コーパスの構築

    松原茂樹, 相澤靖之, 河口信夫, 外山勝彦, 稲垣康善

    情報処理学会第61回全国大会講演論文集     page: 350-351   2000.10

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  416. 漸増的に端末を認識するアドホックネットワーク構築手法の評価

    戸崎貴資, 河口信夫, 外山勝彦, 稲垣康善

    情報処理学会研究報告   Vol. 2000-MBL-14   page: 47-54   2000.9

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  417. 実走行車内における音声データベース

    河口信夫, 松原茂樹, 岩博之, 梶田将司, 武田一哉, 板倉文忠, 稲垣康善

    電子情報通信学会ソサイエティ大会講演論文集     2000.9

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  418. 携帯情報端末間の情報共有を支援するモバイルエージェントシステム

    河口信夫, 外山勝彦, 稲垣康善

    平成11年度後期情報処理学会第59回     page: 299-300   2000.9

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  419. 音声対話MP3プレーヤの実現とその評価

    木村晋一, 松原茂樹, 河口信夫, 稲垣康善

    平成12年度電気関係学会東海支部連合大会講演論文集     page: 563   2000.9

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  420. アドホックネットワークにおける投票システムの実現

    植田智, 河口信夫, 外山勝彦, 稲垣康善,

    平成12年度電気関係学会東海支部連合大会講演論文集     page: 611   2000.9

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  421. 日英同時通訳のためのパラレル会話コーパスの分析

    相澤靖之, 松原茂樹, 河口信夫, 外山勝彦, 稲垣康善

    電気関係学会東海支部連合大会講演論文集     page: 629   2000.9

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  422. マルチドメイン音声対話システムの構築手法

    長森誠, 河口信夫, 松原茂樹, 外山勝彦, 稲垣康善

    情報処理学会研究報告   Vol. 2000-NL-137   page: 83-89   2000.6

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  423. アドホックネットワークにおける柔軟なグループ管理手法-モバイルエージェントを用いた実現-

    宮越勇樹, 河口信夫, 外山勝彦, 稲垣康善

    マルチメディア,分散,協調とモバイルシンポジウム論文集   Vol. DICOMO2000   page: 1-6   2000.6

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  424. モバイルエージェントを用いたファイルの管理システムの提案

    杉浦俊一, 河口信夫, 外山勝彦, 稲垣康善

    マルチメディア,分散,協調とモバイルシンポジウム論文集   Vol. DICOMO2000   page: 145-150   2000.6

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  425. Simultaneous Japanese-English Interpretation based on Early Prediction of English Verb

    Shigeki Matsubara, Keiichi Iwashima, Nobuo Kawaguchi, Katsuhiko Toyama and Yasuyoshi Inagaki

    The 4th Symposium on Natural Language Processing   Vol. SNLP-2000   page: 268-273   2000.5

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  426. モバイルアドホックネットワークにおけるコミュニケーション支援手法

    河口信夫, 清水邦彦, 外山勝彦, 稲垣康善

    情報処理学会研究報告   Vol. MBL-13   page: 55-60   2000.5

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  427. 係り受け関係を用いた即時発話理解-音声対話メールシステムにおける手法-

    伊藤傑, 松原茂樹, 河口信夫, 外山勝彦, 稲垣康善

    言語処理学会第6回年次大会発表論文集     2000.3

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  428. 実走行環境下における車内音声データベースの構築

    河口信夫, 梶田将司, 岩博之, 松原茂樹, 武田一哉, 板倉文忠

    音響学会講演論文集     2000.3

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  429. 車内音声対話コーパスの構築

    河口信夫, 松原茂樹, 武田一哉, 外山勝彦, 稲垣康善

    情報処理第60回全国大会講演論文集     2000.3

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  430. モバイルエージェントの組合せに基づく柔軟なファイル管理手法

    杉浦俊一, 河口信夫, 外山勝彦, 稲垣康善

    情報処理学会第60回全国大会講演論文集     2000.3

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  431. 実走行車内における音声データベースの構築

    河口信夫, 松原茂樹, 岩博之, 梶田将司, 武田一哉, 板倉文忠

    情報処理学会研究報告   Vol. 1999-SLP-30-12   page: 57-62   2000.2

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  432. Spoken Language Corpus for Machine Interpretation Research

    Yasuyuki Aizawa, Shigeki Matsubara, Nobuo Kawaguchi, Katsuhiko Toyama, and Yasuyoshi Inagaki

    The 6th International Conference on Spoken Language Processing   Vol. ICSLP2000   page: 398-401   2000

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  433. MAGNET: Ad hoc Network System Based on Mobile Agents

    Computer Communications   Vol. 23 ( 8 ) page: 761-768   2000

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  434. An Open Architecture for the Multi-Domain Multi-Modal Conversational Systems

    Nobuo Kawaguchi, Shigeki Matsubara, Katsuhiko Toyama, and Yasuyoshi Inagaki

      Vol. ICICS'99   1999.12

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  435. モーバイル環境下の自律分散通信の実現とその応用

    河口信夫,片桐秀樹,内柴道浩,外山勝彦,稲垣康善

    モーバイルコンピューティング'99シンポジウム論文集     page: 31-32   1999.9

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  436. アドホックネットワーク上の柔軟な情報共有システム~モバイルエージェントに基づく実現~

    杉浦俊一, 河口信夫, 外山勝彦, 稲垣康善

    平成11年度電気関係学会東海支部連合大会講演論文集   Vol. 583   page: 292   1999.9

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  437. アドホックネットワーク上における情報分散共有手法

    清水邦彦, 河口信夫, 外山勝彦, 稲垣康善

    平成11年度電気関係学会東海支部連合大会講演論文集   Vol. 584   page: 292   1999.9

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  438. 漸増的に端末を認識するアドホックネットワーク構築手法

    戸崎貴資, 河口信夫, 外山勝彦, 稲垣康善

    マルチメディア,分散,協調とモバイルシンポジウム論文集   Vol. DICOMO1999   page: 261-266   1999.6

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  439. モバイルエージェントによるアドホックネットワークの構築

    河口信夫, 外山勝彦, 稲垣康善

    第2回プログラミング及び応用のシステムに関するワークショップ   Vol. SPA1999   1999

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  440. モバイルエージェントに基づく動的拡張可能なソフトウェアシステム

    河口信夫, 外山勝彦, 稲垣康善

    情報処理学会,夏のプログラミングシンポジウム報告集     page: 71-78   1999

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  441. MAGNET : Ad-Hoc Network System based on Mobile Agents Reviewed

    Mobile Ageats for Telecommunication Applications(MATA'99)     page: 127-142   1999

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  442. An Architecture for Multi-Domain Spoken Dialog Systems

    Proceedings of 5th Natural Language Processing Pacific Rim Symposium(NLPRS'99)     page: 463--466   1999

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  443. Ad・Hoc Network System based on Infrared Communication

    Proceedings of the 1999 ICPP Workshops     page: 114-119   1999

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  444. 同時対話データの収集とのその分析

    長森誠, 木村晋一, 松原茂樹, 河口信夫, 外山勝彦, 稲垣康善

    平成11年度電気関係学会東海支部連合大会講演論文集     page: 597   1999

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  445. 赤外線モバイルアドホックネットワークの構築手法

    河口信夫, 戸崎貴資, 外山勝彦, 稲垣康善

    平成11年度電気関係学会電子・情報システム部門大会講演論文集     page: 373-374   1999

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  446. アドホックネットワークを実現するモバイルエージェントシステム

    河口信夫, 杉浦俊一, 外山勝彦, 稲垣康善

    人工知能学会全国大会(第13回)論文集   Vol. 1月24日   1999

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  447. 話し言葉インターフェースを備えた車内秘書システムの提案

    松原茂樹, 河口信夫, 外山勝彦, 稲垣康善

    人工知能学会全国大会(第13回)論文集   Vol. 2月16日   page: 231-234   1999

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  448. ユビキタスネットワーク環境における携帯情報システムの提案

    河口信夫, 外山勝彦, 稲垣康善

    平成11年度電気関係学会東海支部連合大会講演論文集     page: 583   1999

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  449. 漸進的な連続音声認識システムの試作

    田島慶一, 河口信夫, 松原茂樹, 外山勝彦, 稲垣康善

    平成11年度電気関係学会東海支部連合大会講演論文集     page: 598   1999

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  450. 赤外線通信を用いた頑健なモバイルアドホックネットワーク構築手法

    片桐秀樹, 河口信夫, 外山勝彦, 稲垣康善

    情報処理学会研究報告   Vol. 98-MBL-7-9   page: 63-70   1998.12

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  451. マルチモーダル図形エディタのための漸進的な話し言葉処理手法

    松原茂樹, 河口信夫, 外山勝彦, 稲垣康善

    情報処理学会研究報告   Vol. 98-SLP-23   page: 7-12   1998.10

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  452. 赤外線通信を用いたモバイルアドホックネットワークの実現とその応用

    河口信夫, 片桐秀樹, 内柴道浩, 外山勝彦, 稲垣康善

    情報処理学会第57回全国大会講演論文集(3)     page: 639-640   1998.10

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  453. モーバイルアドホックネットワーク上のアプリケーション構築手法

    内柴道浩, 河口信夫, 外山勝彦, 稲垣康善

    平成10年度電気学会東海支部連合大会   Vol. 611   page: 306   1998.9

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  454. 漸増的に端末を認識するアドホックネットワークの提案

    河口信夫, 外山勝彦, 稲垣康善

    平成10年度電気関係学会東海支部連合大会講演論文集   Vol. 612   page: 306   1998.9

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  455. 導出原理を用いた多エージェント自己認識論理の決定手続きの効率化

    本田和利, 河口信夫, 外山勝彦, 稲垣康善

    電子情報通信学会議技術研究報告   Vol. AI98-89   page: 33-40   1998

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  456. Sync/Mail:話し言葉の漸進的変換に基づく即答応答インターフェース

    松永悟, 松原茂樹, 河口信夫, 外山勝彦, 稲垣康善

    情報処理学会研究報告   Vol. 98-SLP-24   page: 33-40   1998

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  457. Multimodal Drawing Editor Based on Simultaneous Speech Understanding

    IPSJ SIG Notes   Vol. 98 ( 68 ) page: 1-6   1998

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  458. Implementation and Application of Autonomous Distributed Communication in a Mobile Environment

    IPSJ Symposium Series DiCoMo'98   Vol. 98 ( 8 ) page: 619-626   1998

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  459. Automatic Game Programming Using Genetic Programming

    Proceedings of the 12th Annual Conference of JSAI, 1998     page: 120-121   1998

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  460. 発話に即時応答可能なメールツールの提案

    松永悟, 松原茂樹, 河口信夫, 外山勝彦, 稲垣康善

    情報処理学会第57回全国大会講演論文集     page: 209-210   1998

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  461. モバイルアドホックネットワーク構築のための分散アルゴリズムの提案とその実現

    片桐秀樹, 河口信夫, 外山勝彦, 稲垣康善

    情報処理学会第57回全国大会   Vol. Vol.3   page: 558-559   1998

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  462. 項書換え系の拡張された階層的結合における停止性のモジュラー性

    大野健治, 河口信夫, 酒井正彦, 坂部俊樹, 稲垣康善

    電子情報通信学会議技術研究報告   Vol. SS97-84   page: 57-61   1997.12

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  463. 多エージェント系自己認識論理の視覚的環境--導出原理を用いた決定手続きの視覚化--

    本田和利, 河口信夫, 外山勝彦, 稲垣康善

    平成9年後期情報処理学会第55回全国大会   Vol. 2W-4   1997.9

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  464. 書換え型計算モデルの解析・検証・変換のための視覚的支援手法に関する研究

    河口信夫

    名古屋大学大学院工学研究科 博士学位論文     1997.2

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  465. A Multi-Modal Interaction System based on Incremental Interpretation of Natural Language

    Shigeki Matsubara, Nobuo Kawaguchi, Hiroyuki Ymamoto, and Yasuyoshi Inagaki

    The 8th International Energy Week Conference & Exhibition   Vol. ETCE'97   page: 138-144   1997

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  466. An Interactive Multimodal Drawing System based on Incremental Interpretation

    Shigeki Matsubara, Hiroyuki Yamamoto, Nobuo Kawaguchi, Yasuyoshi Inagaki, and KatsuhikoToyama

    IJCAI197 Workshop:Intelligent Multimodal System     page: 55-62   1997

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  467. 依存対に基づく高階項書換え系の停止性証明

    渡辺啓嗣, 河口信夫, 酒井正彦, 坂部俊樹, 稲垣康善

    電子情報通信学会議技術研究報告   Vol. SS97-85   page: 63-70   1997

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  468. モーバイル環境下における赤外線を用いた自律分散通信プロトコル

    片桐秀樹, 河口信夫, 稲垣康善

    マルチメディア,分散,協調とモバイルシンポジウム論文集   Vol. DICOMO1997   page: 67-72   1997

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  469. Using Gentic Programming to Learn Primitive Recursive Functions Implemented by Term Rewriting Systems.

        page: 26-02   1997

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  470. 遺伝的プログラミングを用いたゲームの局面評価関数の学習(共著)

    電子情報通信学会技術報告   Vol. KBSE96-35   page: 17-24   1997

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  471. 異性体ソフトウェア郡のバイナリ生成・管理手法の関する提案

    臼田尚志, 萩原秀和(高岳製作所), 河口信夫, 稲垣康善(名古屋大学)

    情報処理学会春季全国大会     1997

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  472. 自然言語の漸進的処理に基づくマルチモーダル作図システムの提案

    山本博之, 松原茂樹, 河口信夫, 稲垣康善

    電気関係学会東海支部連合大会     page: 586   1997

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  473. 異性体ソフトウェア群のバージョン管理に関する一考案

    臼田尚志, 萩原秀和, 河口信夫, 稲垣康善

    電気関係学会東海支部連合大会     page: 569   1997

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  474. 赤外線通信を用いたモバイルネットワークの提案

    河口信夫, 片桐秀樹, 外山勝彦, 稲垣康善

    電気関係学会東海支部連合大会     page: 578   1997

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  475. ソートの同値分類に基づく項書換え系の型推論とその視覚化

    宮下大, 酒井正彦, 河口信夫, 坂部俊樹

    電気関係学会東海支部連合大会     page: 642   1997

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  476. 複数回投票によるエージェント間合意形成方式の提案

    伊藤栄紀, 河口信夫, 外山勝彦, 稲垣康善

    電気関係学会東海支部連合大会     page: 621   1997

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  477. 自然言語の漸進的解釈に基づくマルチモーダルファイル検索システムSync/Search

    松永悟, 松原茂樹, 河口信夫, 外山勝彦, 稲垣康善

    ソフトウェア科学会第14回大会     page: 97-100   1997

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  478. 異性体ソフトウェア群のバイナリ生成・管理手法

    臼田尚志, 萩原秀和(高岳製作所), 河口信夫, 稲垣康善(名古屋大学)

    ソフトウェア科学会第14回大会     page: 161-164   1997

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  479. 項書換え系の完備化アルゴリズムの視覚化

    進直孝, 河口信夫, 酒井正彦, 坂部俊樹

    電気関係学会東海支部連合大会     page: 643   1997

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  480. Classifier Systemを用いた対戦によるゲームプレイルールの学習

    梅原聡, 河口信夫, 外山勝彦, 稲垣康善

    電気関係学会東海支部連合大会     page: 611   1997

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  481. 高階項書換え系の視覚的解析支援環境の実現

    渡邉啓嗣, 河口信夫, 酒井正彦, 坂部俊樹, 稲垣康善

    電気関係学会東海支部連合大会     page: 644   1997

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  482. 自然言語の漸進的解釈に基づくマルチモーダル対話システム -図形エディタSync/Draw-

    山本博之, 松原茂樹, 河口信夫, 稲垣康善

    インタラクティブシステムとソフトウェアIV     page: 121-130   1996.12

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  483. GPを用いた原始帰納関数を実現するTRSの学習

    桑山高史, 河口信夫, 稲垣康善

    平成8年度電気関係学会東海支部連合大会   Vol. 589   page: 295   1996.9

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  484. 遺伝的プログラミングを用いたゲームの局面評価関数の生成

    堀之内剛史, 河口信夫, 稲垣康善

    第10回人工知能学会全国大会   Vol. 3月22日   page: 649-652   1996.9

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  485. GPによるゲームの評価関数生成のための事例獲得--ゲームの対戦に基づく事例の信頼度の学習--

    堀之内剛史, 河口信夫, 稲垣康善

    平成8年度電気関係学会東海支部連合大会   Vol. 590   page: 295   1996.9

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  486. TERSE : A Visual Environment for Supporting Analysis, Verification and Transformation of Term Rewriting Systems Reviewed

    Nobuo Kawaguchi, Yasuyoshi Inagaki

    Proceedings of AMAST 96, LNCS 1101     page: 571-574   1996

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  487. Visual Support Methods for Analysis, Verification and Transformation of Term Rewriting Systems

      Vol. 13 ( 1 ) page: 23-36   1996

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  488. Implementation of Visualization of Term Rewriting Computation Using Functional Programming Language Standard ML

      Vol. 116-C ( 1 ) page: 103-110   1996

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  489. Visual Environment for Multiagent Autoepistemic Logic -Visualizing Decision Procedure based on Tablean Method-

        page: D-123   1996

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  490. 項書換え系における書換え関係の視覚化

    大野健治, 河口信夫, 坂部俊樹, 稲垣康善

    電気関係学会東海支部連合大会     page: 657   1996

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  491. 項書換え系における書換え系列の視覚化の拡張--中間実行とフィルター--

    河口信夫, 坂部俊樹, 稲垣康善

    電気関係学会東海支部連合大会     page: 659   1996

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  492. Martin-Lofの型理論に基づくプログラム合成のための定理証明系

    中山毅, 河口信夫, 坂部俊樹, 稲垣康善

    電気関係学会東海支部連合大会     page: 660   1996

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  493. 項書換え系における再帰経路順序の視覚化

    河口信夫, 大橋達也, 坂部俊樹, 稲垣康善

    1995年度電気関係学会東海支部連合大会   Vol. 638   page: 319   1995.9

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  494. 可換則に基づく貢書換え系の自動変換システムとその評価

    河口信夫, 坂部俊樹, 稲垣康善

    (平成6年度前期)情報処理学会第48回全国大会講演論文集   Vol. 1G-1   page: 271-272   1994.9

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  495. 項書換え系の計算量解析の自動化

    河口信夫, 坂部俊樹, 稲垣康善

    平成6年度(1994)電気関係学会東海支部連合大会   Vol. 611   1994.9

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  496. TERSE: TErm Rewrinting Support Environment

    Nobuo Kawaguchi, Toshiki Sakabe, and Yasuyoshi Inagaki

    The 1994 ACM SIGPLAN Workshop on Standard ML and its Applications   Vol. ML94   page: 91-100   1994

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  497. 代数的仕様の解析・検証・変換のための視覚的支援環境

    河口信夫, 坂部俊樹, 稲垣康善

    第1回ソフトウェア工学の基礎ワークショップFOSE'94論文集     page: 9-16   1994

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  498. Support Environment for Analysis and Transformation of Term Rewriting Systems with Graphical User Interface.

    TECHNICAL REPORT OFIEICE   ( SS-93 ) page: 44   1994

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  499. 視覚的項書換え環境のSMLによる実現

    河口信夫, 坂部俊樹, 稲垣康善

    ソフトウェア科学会第11回大会論文集   Vol. D6-4   page: 285-288   1994

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  500. ωメタレベルインタプリタを持つ書換えシステム

    河口信夫, 坂部俊樹, 稲垣康善

    電子情報通信学会春季大会講演論文集     1994

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  501. 可換則に基づいたTRSの変換について

    河口信夫, 坂部俊樹, 稲垣康善

    平成5年度(1993年)度電気関係学会東海支部連合大会   Vol. 613   1993.9

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  502. Commutative Law Based Transformation for Improving Efficiency of Term Rewriting Systems

    TECHNICAL REPORT OFIEICE   Vol. COMP193 ( 64 ) page: 21-29   1993

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  503. リフレクションの機能を持つ書換え計算モデルに関する研究

    河口信夫

    名古屋大学大学院工学研究科 修士学位論文     1992.3

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  504. リフレクティブ書換え計算モデル

    河口信夫, 酒井正彦, 坂部俊樹, 稲垣康善

    平成3年度(1991)電気関係学会東海支部連合大会   Vol. 582   page: 582   1991.9

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  505. 代数的プログラミング環境

    河口信夫, 酒井正彦, 坂部俊樹, 稲垣康善

    平成2年度(1990)電気関係学会東海支部連合大会   Vol. 542   page: 542   1990.9

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  506. 関数型プログラムの検証に関する基礎的研究

    河口信夫

    名古屋大学工学部卒業論文     1990.3

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Books 6

  1. 未来へつなぐデジタルシリーズ C言語

    杉浦 茂樹, 久保田 稔, 打矢 隆弘, 河口 信夫, 佐藤 文明( Role: Joint author)

    共立出版  2014.11  ( ISBN:978-4-320-12350-2

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    本書では,このようなC言語について特に電気工学,電子工学,情報工学の各分野で必要とされる基礎的な内容について学ぶ。

  2. 深層学習を用いたIMU付きペンによる手書き文字認識

    永田 吉輝, 挺屋 友幹, 東浦 圭亮, 下里 浩昇, 山口 公平, 坂倉 波輝, 戸出 悠太, 浦野 健太, 米澤 拓郎, 河口 信夫( Role: Joint author)

    日本工業出版・画像ラボ  2022.11 

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  3. つながるクルマ

    河口, 信夫, 高田, 広章, 佐藤, 健哉( Role: Sole author)

    コロナ社  2020.11  ( ISBN:9784339027730

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    CiNii Books

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  4. Human Activity Sensing : Corpus and Applications

    Kawaguchi Nobuo, Nishio Nobuhiko, Roggen Daniel, Inoue Sozo, Pirttikangas Susanna, Laerhoven Kristof van( Role: Sole author)

    Springer  2019  ( ISBN:9783030130039

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  5. C言語

    今野 将, 杉浦 茂樹, 久保田 稔(情報工学), 打矢 隆弘, 河口 信夫, 佐藤 文明, 白鳥 則郎( Role: Sole author)

    共立出版  2014  ( ISBN:9784320123502

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    CiNii Books

  6. Advances for In-Vehicle and Mobile Systems: Challenges for International Standards

    Huseyin Abut , John H.L. Hansen,Kazuya Takeda(Editor)( Role: Joint author)

    Springer  2007 

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MISC 125

  1. 高精度MI磁気センサを用いたSMM位置推定の精度評価

    渡邊康祐, 廣井慧, 米澤拓郎, 梶克彦, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2020 ( MBL-94 )   2020

  2. Ballroom Dance Figure Recognition Using Multi-modal Sensors Considering Dance Motion Characteristics

    松山仁, 浦野健太, 廣井慧, 廣井慧, 梶克彦, 米澤拓郎, 河口信夫

    情報処理学会論文誌ジャーナル(Web)   Vol. 61 ( 10 )   2020

  3. 歩容に頑健なPDRのための深層学習を用いた進行方向推定手法

    吉田拓人, 廣井慧, 米澤拓郎, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2020 ( MBL-94 )   2020

  4. A Design and Evaluation of Flexible and Scalable Simulator about Person Trip and Traffic Flow

    平野流, 米澤拓郎, 廣井慧, 河口信夫, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2020 ( MBL-94 )   2020

  5. An Analysis of Bus Traffic Delay with Geographical Characteristics and an Application to Arrival Time Prediction in Snowfall Situation

    廣井慧, 花之内広太郎, 今井瞳, 河口信夫, 河口信夫

    電気学会論文誌 C   Vol. 140 ( 2 )   2020

  6. Synerex: Design Concept and Function of Demand-Supply Exchange Platform for Supporting Super Smart Society(Society5.0)

    河口信夫, 米澤拓郎, 廣井慧

    情報処理学会研究報告(Web)   Vol. 2020 ( MBL-94 )   2020

  7. Basic Study of Doki-doki Visualization LED Device

    浦野健太, 廣井慧, 米澤拓郎, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2020 ( MBL-94 )   2020

  8. マルチモーダル社交ダンス認識における従来手法と深層学習の比較評価<英文title>Comparison and Evaluation of Ballroom Dance Figure Type Recognition Using Multi-modal Sensor

    松山仁, 廣井慧, 梶克彦, 米澤拓郎, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2020 ( MBL-94 )   2020

  9. 倉庫における人と自律配送ロボットの協調制御手法の基礎的検討

    浅井悠佑, 廣井慧, 米澤拓郎, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2020 ( MBL-94 )   2020

  10. 個人に依存した時空間セマンティクスの分散表現の検討

    庄子和之, 米澤拓郎, 廣井慧, 河口信夫, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2020 ( MBL-94 )   2020

  11. A Two-Dimensional Smartphone Path Estimation Method using Spinning Magnet Marker

    渡邊康祐, 廣井慧, 米澤拓郎, 梶克彦, 河口信夫, 河口信夫

    情報処理学会論文誌ジャーナル(Web)   Vol. 61 ( 2 )   2020

  12. ER-Chat: Response Text Generation for Dialogue System with Emotional Regulation

    片山晋, 米澤拓郎, 大越匡, 中澤仁, 河口信夫, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2020 ( HCI-190 )   2020

  13. 歩容に頑健なPDRのための深層学習を用いた歩行速度推定手法

    吉田拓人, 野崎惇登, 廣井慧, 梶克彦, 米澤拓郎, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2019 ( UBI-63 ) page: Vol.2019‐UBI‐63,No.3,1‐7 (WEB ONLY)   2019.8

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    J-GLOBAL

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  14. 回転磁石マーカを用いたスマートフォン所持者の2次元経路推定

    渡邊康祐, 廣井慧, 米澤拓郎, 梶克彦, 河口信夫, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2019 ( 1 ) page: ROMBUNNO.1B‐3   2019.6

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  15. 異なるサービス提供者間におけるトラストモデルとその実装に関する研究

    平野流, 廣井慧, 米澤拓郎, 河口信夫, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2019 ( 1 )   2019

  16. ユーザの休日における外出先POI情報に基づくプライバシーを考慮した居住地属性推定手法の一検討

    湯木悠太, 米澤拓郎, 廣井慧, 河口信夫, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2019 ( ITS-79 )   2019

  17. Arrival Prediction Model and Precision Analysis based on Bus Traffic Data

    今井瞳, 今井瞳, 廣井慧, 廣井慧, 河口信夫, 河口信夫, 河口信夫

    情報処理学会論文誌ジャーナル(Web)   Vol. 60 ( 1 )   2019

  18. 回転磁石マーカを用いた基礎的なスマートフォン経路推定

    渡邊康祐, 廣井慧, 梶克彦, 河口信夫, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2018 ( 1 ) page: ROMBUNNO.5F‐5   2018.6

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  19. 自動運転社会におけるSynergic Mobilityの創出

    河口信夫, 河口信夫, 河口信夫

    電子情報通信学会大会講演論文集(CD-ROM)   Vol. 2018   2018

  20. 第79回全国大会〜オープン・イノベーションと情報処理〜

    河口 信夫

    情報処理   Vol. 58 ( 8 ) page: 740 - 742   2017.7

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    Other Link: http://id.nii.ac.jp/1001/00182587/

  21. 疎な位置情報と誤差モデルを用いたPDRの補正手法

    野崎惇登, 廣井慧, 廣井慧, 梶克彦, 梶克彦, 河口信夫, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2017 ( 1 ) page: 29‐37   2017.6

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  22. 回転磁石マーカによるスマートフォンの3次元位置推定手法

    渡邊 康祐, 廣井 慧, 神山 剛, 佐野 博之, 塚本 昌克, 片桐 雅二, 池田 大造, 梶 克彦, 河口 信夫

    マルチメディア,分散協調とモバイルシンポジウム2017論文集   ( 2017 ) page: 1588 - 1597   2017.6

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  23. タンデムスキャナを用いた配布型BLEタグ位置推定手法

    浦野健太, 浦野健太, 廣井慧, 廣井慧, 梶克彦, 梶克彦, 河口信夫, 河口信夫, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2017 ( 1 ) page: 1598‐1606   2017.6

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  24. 回転磁石マーカによるスマートフォンの3次元位置推定手法

    渡邊康祐, 廣井慧, 神山剛, 佐野博之, 塚本昌克, 片桐雅二, 池田大造, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2017 ( 1 ) page: 1588‐1597   2017.6

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  25. 空間認識能力計測のためのスマートフォンVRシステムの構築

    嶋田光佑, 廣井慧, 梶克彦, 河口信夫, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 79th ( 3 ) page: 3.85‐3.86   2017.3

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  26. 回転磁石マーカを用いたスマートフォン3次元位置推定の基礎的検討

    渡邊 康祐, 廣井 慧, 神山 剛, 佐野 博之, 塚本 昌克, 片桐 雅二, 池田 大造, 梶 克彦, 河口 信夫

    第79回全国大会講演論文集   Vol. 2017 ( 1 ) page: 453 - 454   2017.3

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    この研究では磁石を回転させて周期的に変化する磁場を発生させる磁場マーカーを用いて、スマートフォンの磁場マーカーからの距離、方位角、仰角を特定する。提案手法は回転角度を取得できるステッピングモーターを用いて磁石を回転させ、磁場のノルムが極大値をとった時刻でのモーターの角度データを取得することで、スマートフォンの磁場マーカーからの相対的な方位角を推定する。さらにセンサーの値と仰角との関係を理論的に導出し、ノルムが極値をとった時刻における磁場の各方向成分から仰角を推定する。実験の結果、1m離れた距離での方位角の特定は平均誤差6゜以内、仰角の特定は0゜での測定で平均誤差3゜以内であった。

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  27. 回転磁石マーカを用いた3次元位置推定の基礎的検討

    渡邊康祐, 廣井慧, 神山剛, 佐野博之, 塚本昌克, 片桐雅二, 池田大造, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 79th ( 3 ) page: 3.453‐3.454   2017.3

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  28. 大規模展示会における来場者分析のための配布型BLEタグを用いた位置推定手法

    浦野健太, 廣井慧, 廣井慧, 梶克彦, 梶克彦, 河口信夫, 河口信夫, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2016 ( 1 ) page: 1236‐1243   2016.6

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  29. 回転磁石マーカに基づくスマートフォン位置推定

    武島知勲, 梶克彦, 廣井慧, 河口信夫, 神山剛, 太田賢, 稲村浩

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2016 ( 1 ) page: 889‐898   2016.6

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  30. 仮想空間システムを用いた空間認識能力計測手法の提案

    嶋田光佑, 廣井慧, 梶克彦, 河口信夫, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2016 ( 1 ) page: 789‐797   2016.6

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  31. 仮想空間システムを用いた歩行者ナビ利用状況計測手法の提案

    嶋田光佑, 廣井慧, 梶克彦, 河口信夫, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 78th ( 3 ) page: 3.411-3.412   2016.3

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  32. 音声ナビゲーションにおけるユーザ属性を考慮したランドマーク提示手法の提案

    飯田啓量, 櫻田健, 廣井慧, 河口信夫, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2016 ( 1 )   2016

  33. 路線バスの運行データ分析に基づく到着時刻予測と精度解析

    今井瞳, 廣井慧, 廣井慧, 河口信夫, 河口信夫, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2016 ( 1 )   2016

  34. ウェアラブル・ユビキタスコンピューティング研究の最新動向 2 屋内測位の基幹技術としての歩行者デッドレコニング

    河口信夫, 河口信夫, 梶克彦

    情報処理   Vol. 56 ( 9 ) page: 855 - 857   2015.8

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  35. 頭部ジェスチャによる入力インタフェースの開発と音声ナビゲーションへの適用

    石村昇平, 梶克彦, 廣井慧, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2015 ( 1 ) page: 709‐714   2015.7

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  36. 通路に設置した回転する磁石による歩行者の通過検出手法

    武島知勲, 梶克彦, 廣井慧, 河口信夫, 神山剛, 太田賢, 稲村浩

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2015 ( 1 ) page: 691‐699   2015.7

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  37. 経路の複雑さによらないPDR評価指標と経路可視化ツールの提案

    安部真晃, 梶克彦, 廣井慧, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2015 ( 1 ) page: 334‐339   2015.7

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  38. 歩行者向け音声ナビゲーションのためのIndoorGML拡張データモデルの提案

    飯田啓量, 廣井慧, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2015 ( 1 ) page: 561‐567   2015.7

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  39. 歩行者向けナビゲーション評価のための仮想空間システムの構築

    嶋田光佑, 廣井慧, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2015 ( 1 ) page: 553‐560   2015.7

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  40. 歩行時の磁気センシングデータを利用した屋内位置推定手法

    村田雄哉, 梶克彦, 廣井慧, 河口信夫, 神山剛, 太田賢, 稲村浩

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2015 ( 1 ) page: 1024‐1030   2015.7

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  41. スマートステーションなごや:次世代屋内位置情報サービスの研究開発

    河口信夫, 坂涼司, 一円真治, 飯田啓量, 山川健司, 廣井慧, 梶克彦

    情報処理学会研究報告(Web)   Vol. 2015 ( UBI-46 ) page: VOL.2015-UBI-46,NO.4 (WEB ONLY)   2015.5

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  42. HTML構造解析と機械学習に基づくイベント情報抽出システムの提案

    LIAO Chenyi, 廣井慧, 梶克彦, 河口信夫, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2015 ( UBI-46 ) page: VOL.2015-UBI-46,NO.13 (WEB ONLY)   2015.5

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  43. A Mobile System for 3D Indoor Mapping Using LiDAR and Panoramic Camera

      Vol. 2015 ( 1 ) page: 1 - 7   2015.5

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    Limited by the poor vertical resolution of multi-laser LiDAR sensors like Velodyne HDL-32E, the sparsity of 3D points increases drastically in vertical direction as the distance from Velodyne increases. Interpolating in the point cloud is a method that often used to solve this problem. In this paper, we propose a mobile system consist of a Velodyne LiDAR sensor and a panoramic camera(we utilize a Ladybug3 panoramic camera here) for indoor mapping. We call it Velobug(Velodyne and Ladybug) system for practical purpose. Velobug can be used to obtain denser points clouds by deflecting Velodyne and rotating it around plumb line. Also with the Ladybug3 panoramic camera under Velodyne, we can get a colored point cloud by corresponding each 3D point to a pixel on the panoramic image acquired from Ladybug3 after the calibration of Velobug. Generalized Iterative Closet Point(Generalized-ICP) is adopted in frame-to-frame registration of the point clouds for indoor mapping.

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  44. 歩行者デッドレコニングに基づく軌跡推定の評価法の提案

    安部真晃, 梶克彦, 廣井慧, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 77th ( 3 ) page: 3.295-3.296   2015.3

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  45. 屋内歩行者向け音声ナビゲーションのためのデータモデルの提案

    飯田啓量, 廣井慧, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 77th ( 3 ) page: 3.377-3.378   2015.3

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  46. 安定気圧区間に基づくフロア間移動推定

    梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 77th ( 3 ) page: 3.7-3.8   2015.3

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  47. 個人の空間認識能力に応じた歩行者向けナビゲーションの提案

    嶋田光佑, 廣井慧, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 77th ( 3 ) page: 3.367-3.368   2015.3

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  48. UbiComp2015チャレンジ

    河口 信夫

    研究報告ユビキタスコンピューティングシステム(UBI)   Vol. 2015 ( 58 ) page: 1 - 1   2015.2

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  49. Pedestrian Route Estimation Method using Magnetic Data

    村田雄哉, 梶克彦, 廣井慧, 河口信夫, 神山剛, 太田賢, 稲村浩

    電子情報通信学会技術研究報告   Vol. 114 ( 418(ASN2014 107-155) ) page: 61 - 66   2015.1

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  50. 安定歩行区間に基づく歩行軌跡推定手法

    梶克彦, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2014 ( UBI-44 ) page: VOL.2014-UBI-44,NO.19 (WEB ONLY)   2014.10

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  51. 浸水被害の画像を用いた市街地における浸水深の検出手法の提案

    廣井慧, 河口信夫

    研究報告ユビキタスコンピューティングシステム(UBI)   Vol. 2014 ( 3 ) page: 1 - 6   2014.10

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    都市域での豪雨が起こす市街地の浸水被害を軽減するためには,浸水の発生箇所やその浸水深のような,浸水状況の情報提供が有効である.浸水状況を知ることで,道路上の危険箇所の歩行やアンダーパスでの車両の水没からの回避が可能になると考えられる.しかし,既存で用いられる水位計は定点観測用途が主であり,観測地点数が限られるため,観測点以外の浸水状況が把握できない.また,豪雨の発生時には浸水の様子を撮影した画像がインターネット上で多数共有されるが,浸水深を検出するためには量水板のように水位と比較可能な目安となる対象物が必要となるため,このような画像から浸水深を知ることが難しい.そこで,市街地における観測点以外の地点での浸水深の把握を目的に,インターネット上から収集した市街地の浸水の様子を撮影した画像を活用して,浸水深を検出する手法を提案する.本手法は,画像に写る人物の大きさと水位を比較し,人への影響に応じて膝以下,股下以下,胸部以下,胸部以上という分類で浸水深を推定することで,目安となる対象物を必要とせず,浸水深の検出を可能にする.提案手法を用いて,過去に市街地で発生した実際の浸水被害における浸水深を検出し,その結果を述べる.

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    Other Link: http://id.nii.ac.jp/1001/00105925/

  52. 自律型電源を用いた停電時に運用可能な市街地の浸水観測システムの提案 (ITS)

    廣井 慧, 仲倉 利浩, 落合 秀也, 井上 朋哉, 山形 与志樹, 河口 信夫

    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報   Vol. 114 ( 225 ) page: 5 - 11   2014.9

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    都市域で発生する豪雨は,市街地の浸水を招き,避難者の歩行困難やアンダーパスでの車両の水没等,道路交通に大きな被害を与える.特に中小河川や水路から溢れる水は,一般市町村道のような生活道路の浸水を招く.浸水の発生箇所や浸水深の情報提供は,歩行者や車両の被害軽減に有効であるため,生活道路での浸水の情報提供を実現を目指し,安価で簡易に構築可能な浸水観測ネットワークFloodEyeの開発と実環境での運用を行っている.しかし,豪雨や浸水被害が拡大すると,市街地では停電が発生することが多く,浸水観測やデータ提供の継続が難しい.そこで本研究は,被害拡大後も安定的に運用でき,生活道路の浸水被害軽減に活用できる浸水観測システムの開発を行う.本システムは,豪雨発生前に太陽光から蓄電した電力を活用し,停電時に観測とFloodEyeへのデータ伝送をする自律型電源機能をもつ.本システムを実環境に設置して,観測とデータ伝送を行い,連続した降雨日での電力消費量を計測した.この計測結果をもとに,同程度の降雨発生時に安定的な運用を実現するための効率的な電力使用の分析を行う.近傍の降水量や警報の発表状況から推定する被害拡大の可能性,観測結果からの浸水の発生状況を用いた,観測とデータ伝送の制御開始タイミングの決定と時間間隔の最適化の考察結果を述べる.

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  53. 自律型電源を用いた停電時に運用可能な市街地の浸水観測システムの提案

    廣井慧, 仲倉利浩, 落合秀也, 井上朋哉, 山形与志樹, 河口信夫

    研究報告高度交通システムとスマートコミュニティ(ITS)   Vol. 2014 ( 2 ) page: 1 - 7   2014.9

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    都市域で発生する豪雨は,市街地の浸水を招き,避難者の歩行困難やアンダーパスでの車両の水没等,道路交通に大きな被害を与える.特に中小河川や水路から溢れる水は,一般市町村道のような生活道路の浸水を招く.浸水の発生箇所や浸水深の情報提供は,歩行者や車両の被害軽減に有効であるため,生活道路での浸水の情報提供を実現を目指し,安価で簡易に構築可能な浸水観測ネットワーク FloodEye の開発と実環境での運用を行っている.しかし,豪雨や浸水被害が拡大すると,市街地では停電が発生することが多く,浸水観測やデータ提供の継続が難しい.そこで本研究は,被害拡大後も安定的に運用でき,生活道路の浸水被害軽減に活用できる浸水観測システムの開発を行う.本システムは,豪雨発生前に太陽光から蓄電した電力を活用し,停電時に観測と FloodEye へのデータ伝送をする自律型電源機能をもつ.本システムを実環境に設置して,観測とデータ伝送を行い,連続した降雨日での電力消費量を計測した.この計測結果をもとに,同程度の降雨発生時に安定的な運用を実現するための効率的な電力使用の分析を行う.近傍の降水量や警報の発表状況から推定する被害拡大の可能性,観測結果からの浸水の発生状況を用いた,観測とデータ伝送の制御開始タイミングの決定と時間間隔の最適化の考察結果を述べる.

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  54. 発展途上国における土のうの共有を可能にするWebシステム”Do you know Donou?”の提案

    飯田啓量, 安部真晃, 嶋田光佑, 廣井慧, 梶克彦, 河口信夫

    電気・電子・情報関係学会東海支部連合大会講演論文集(CD-ROM)   Vol. 2014   page: ROMBUNNO.L2-8   2014.9

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  55. 歩行中でも利用可能な頭部ジェスチャインタフェース

    石村昇平, 廣井慧, 梶克彦, 河口信夫

    電気・電子・情報関係学会東海支部連合大会講演論文集(CD-ROM)   Vol. 2014   page: ROMBUNNO.N2-1   2014.9

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  56. 屋内歩行センシングコーパスHASC‐IPSC利用のすすめ

    梶克彦, 渡辺穂高, 坂涼司, 河口信夫

    情報処理学会研究報告(Web)   Vol. 2014 ( MBL-72 ) page: VOL.2014-MBL-72,NO.8 (WEB ONLY)   2014.8

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  57. 集約情報を用いた通知ダイアログへの対応支援手法

    上島愛史, 梶克彦, 河口信夫, 竹中光, 武内重樹, 岡本学

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2014 ( 1 ) page: 93 - 99   2014.7

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  58. 無線LANモバイル基地局検出のための基地局情報収集フレームワーク

    武島知勳, 梶克彦, 廣井慧, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2014 ( 1 ) page: 975 - 981   2014.7

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  59. 歩行者自律測位における行動センシング知識の利用

    村田雄哉, 梶克彦, 廣井慧, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2014 ( 1 ) page: 1614 - 1619   2014.7

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  60. 時空間情報に基づくイベント情報の集約システムの開発

    LIAO Chenyi, 梶克彦, 廣井慧, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2014 ( 1 ) page: 657 - 665   2014.7

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  61. ライフログ写真データに基づく連想検索に関する研究

    上村真也, 梶克彦, 廣井慧, 竹中光, 武内重樹, 岡本学, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2014 ( 1 ) page: 1104 - 1111   2014.7

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  62. Linked Open Dataによる店舗POIの公開と活用手法の提案

    一円真治, 梶克彦, 廣井慧, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2014 ( 1 ) page: 1930 - 1938   2014.7

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  63. Origin and Activity of NPO Location Information Service Research Agency

    KAWAGUCHI Nobuo

    The Journal of the Institute of Electronics, Information, and Communication Engineers   Vol. 97 ( 6 ) page: 488 - 492   2014.6

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  64. 多特徴CRFに基づくオンラインレビューからの料理名データベースの構築

    陳偉昌, 梶克彦, 河口信夫

    第76回全国大会講演論文集   Vol. 2014 ( 1 ) page: 31 - 32   2014.3

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    In cuisine recommender service, on-line user review is an important data source avoiding a cold-start problem. Cuisine-domain named entity recognition can be used as an entrance to comprehend the semantic information of reviews. This paper describes a supervised approach recognizing Japanese dish name entity (DNE) from on-line reviews of Japanese cuisine website. In the first stage, this work adopts tweets as the data source to construct seed dictionary of dish name elements through semantic rules and uses Bayesian posterior to remove noise. Next stage, we map first-stage dictionary as a non-local feature into Condition Random Field to extract the dish name. This method can automatically add new dish name elements into the seed dictionary by iteration during the recognition proceeding. By using 10-fold testing, experiment results show our method can reach 84.38% in F1 score and outperform the two baselines using dictionary or CRF separately.

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  65. クラウドソーシングに基づくレストランの不定な閉店時間の推定

    梶克彦, 河口信夫

    第76回全国大会講演論文集   Vol. 2014 ( 1 ) page: 35 - 36   2014.3

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    スマートフォンの普及と高度化に伴い,位置情報サービスの需要が高まっている.正確なレストラン検索や推薦を提供するためには,位置や営業時間などの店舗情報を計算機で処理可能な形式で記述しておく必要がある.しかし一部の店舗では,閉店時間が正確に定まっておらず,時刻形式で記述されていない場合がある.本研究では,閉店時間の定まっていないレストランを位置情報サービスで利用可能にするためのクラウドソーシングシステムを提案する.複数のユーザはレストランの閉店間際に訪れ,本システムを通じて店舗が開いていたか閉まっていたかを投稿する.蓄積された投稿情報は閉店時間の推定に用いられる.

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  66. 行動知識を用いた歩行者自律測位手法の検討

    村田雄哉, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 76th ( 3 ) page: 3.201-3.202   2014.3

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  67. 無線LAN位置推定におけるモバイル基地局の検出とその応用

    武島知勳, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 76th ( 3 ) page: 3.181-3.182   2014.3

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  68. 旅行に関する文脈情報収集システム「旅ノ記憶」の設計と開発

    LIAO Chenyi, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 76th ( 4 ) page: 4.469-4.470   2014.3

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  69. マルチセンサ位置推定手法における無線LAN受信遅延の影響

    巾達也, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 76th ( 3 ) page: 3.177-3.178   2014.3

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  70. クラウドソーシングに基づくレストランの不定な閉店時刻の推定

    梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 76th ( 3 ) page: 3.35-3.36   2014.3

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  71. ポップアップダイアログの認識に基づく対応支援手法

    上島愛史, 梶克彦, 河口信夫, 竹中光, 武内重樹, 岡本学

    情報処理学会全国大会講演論文集   Vol. 76th ( 4 ) page: 4.129-4.130   2014.3

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  72. HASC‐IPSC:屋内歩行センシングコーパス

    梶克彦, 渡辺穂高, 坂涼司, 河口信夫

    電子情報通信学会技術研究報告   Vol. 113 ( 495(MoNA2013 71-84) ) page: 69 - 76   2014.3

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  73. HASC-IPSC: 屋内歩行センシングコーパス

    梶克彦, 渡辺穂高, 坂涼司, 河口信夫

    研究報告モバイルコンピューティングとユビキタス通信(MBL)   Vol. 2014 ( 41 ) page: 1 - 8   2014.3

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    近年モバイルコンピューティング分野で盛んな研究テーマとして,屋内位置推定や建物構造の自動推定が挙げられる.しかし,現在までにこれらの研究で共通して利用可能なデータが存在せず,新たな手法を提案しても,既存研究との精度の比較検討が困難であった.我々は,屋内位置推定研究と建物構造推定研究を主なターゲットとした,屋内歩行センシングコーパス (HASC-IPSC) を構築した.被験者はスマートフォンを装着して建物内の様々な経路を移動する.スマートフォンに記録された加速度等のセンサデータに対して,右左折や階段昇降といった詳細な行動ラベルが人手で付与されている.また各歩行移動データには,スタート地点を原点とした 1 秒ごとの 3 次元座標の正解データも用意されている.このデータを利用して,各研究で提案された歩行者デッドレコニング手法の精度を検証可能である.また建物全体の歩行空間ネットワーク構造の正解データが用意されており,複数の歩行センシングデータを統合して建物構造を自動推定する研究のリファレンスデータとして利用できる.

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  74. An Indoor Positioning Method Integrating Pedestrian Dead Reckoning with Magnetic Filed and WiFi Map

    坂涼司, 梶克彦, 河口信夫

    電子情報通信学会技術研究報告   Vol. 113 ( 399(ASN2013 118-161) ) page: 23 - 28   2014.1

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  75. 距離画像による空間情報マッチングに基づくマーカレスARシステムの設計と実装

    山川健司, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2013 ( 2 ) page: ROMBUNNO.DS-11   2013.7

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  76. 特定の移動経路を対象とした行動イベント系列に基づく位置推定手法

    渡辺穂高, 渡邉翔太, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2013 ( 2 ) page: ROMBUNNO.1G-2   2013.7

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  77. 無線LAN位置推定におけるプライバシ保護

    PENG Zuotao, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2013 ( 2 ) page: ROMBUNNO.6B-5   2013.7

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  78. 建物内移動情報の部分マッチングに基づく建物構造生成

    梶克彦, 渡辺穂高, 坂涼司, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2013 ( 2 ) page: ROMBUNNO.6B-3   2013.7

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  79. POI情報統合プラットフォームの提案

    一円真治, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2013 ( 2 ) page: ROMBUNNO.6B-2   2013.7

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  80. Real World Wearable Activity Sensing and Its Applications : 0. Foreword

      Vol. 54 ( 6 ) page: 562 - 563   2013.5

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  81. Real World Wearable Activity Sensing and Its Applications : 1. HASC Corpus : Large-Scale Human Activity Sensing Corpus and Its Applications

      Vol. 54 ( 6 ) page: 564 - 567   2013.5

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  82. 距離画像情報を用いた室内マーカレスARとその応用

    山川健司, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 75th ( 4 ) page: 4.57-4.58   2013.3

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  83. 装着型センサの姿勢推定に基づく移動軌跡の可視化

    坂涼司, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 75th ( 3 ) page: 3.153-3.154   2013.3

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  84. 多様な場所への移動をモチベートさせるライフログ活用システム

    梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 75th ( 3 ) page: 3.37-3.38   2013.3

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  85. ハイブリッド位置情報サービスのためのPOI情報の統合プラットフォーム

    一円真治, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 75th ( 3 ) page: 3.193-3.194   2013.3

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  86. Scalable QoS for XCAST Using Differentiated Services Architecture

    OdiraElishaAbade, Katsuhiko Kaji, Nobuo Kawaguchi

      Vol. 53 ( 11 ) page: 14p   2012.11

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  87. 人間行動理解を目的とした装着型センサデバイスの姿勢推定手法とその可視化

    坂涼司, 梶克彦, 河口信夫

    電気関係学会東海支部連合大会講演論文集(CD-ROM)   Vol. 2012   page: ROMBUNNO.M3-4   2012.9

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  88. マーカレスARのための距離画像センサを用いた自己位置推定手法

    山川健司, 梶克彦, 河口信夫

    電気関係学会東海支部連合大会講演論文集(CD-ROM)   Vol. 2012   page: ROMBUNNO.K2-5   2012.9

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  89. 特定の移動経路を対象とする行動センシング情報収集フレームワーク

    渡辺穂高, 渡邉翔太, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2012 ( 1 ) page: ROMBUNNO.DS-14   2012.6

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  90. 無線LAN環境特異点に基づくゲート通過検出手法

    梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2012 ( 1 ) page: ROMBUNNO.2B-3   2012.6

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  91. 指の識別に基づく3Dオブジェクトの直観的な操作インタフェース

    馬場信吾, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2012 ( 1 ) page: ROMBUNNO.5E-2   2012.6

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  92. 多地点間通信のためのアプリケーション層トラフィックエンジニアリング

    中山裕美, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2012 ( 1 ) page: ROMBUNNO.8C-4   2012.6

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  93. ランドマークの視認性に基づく歩行者向け音声ナビゲーションの提案

    渡邉翔太, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2012 ( 1 ) page: ROMBUNNO.7E-2   2012.6

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  94. A Telepresence Robot that Displays Side‐Face Expression

    梶克彦, 河口信夫, 石川幹, 滝和也

    情報処理学会研究報告(CD-ROM)   Vol. 2011 ( 6 ) page: ROMBUNNO.GN-83,NO.16   2012.4

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  95. 音声のみを用いた屋内歩行者ナビゲーションシステムの検討

    渡邉翔太, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 74th ( 3 ) page: 3.439-3.440   2012.3

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  96. 装着型センサを活用した行動情報によるユーザ移動経路推定

    小川延宏, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 74th ( 3 ) page: 3.361-3.362   2012.3

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  97. 端末移動に伴う無線LANの電波環境変化に着目した構造物検出手法

    梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 74th ( 3 ) page: 3.89-3.90   2012.3

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  98. 異種センサデータの蓄積・管理・可視化のためのフレームワーク

    後藤航, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 74th ( 3 ) page: 3.553-3.554   2012.3

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  99. 携帯端末間の接続情報を用いた異種外部デバイス間の通信確立手法

    浅井俊晴, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 74th ( 4 ) page: 4.323-4.324   2012.3

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  100. 加速度・角速度を用いたセンサデバイスの装着位置・方向推定手法

    渡辺穂高, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 74th ( 3 ) page: 3.359-3.360   2012.3

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  101. タイピング情報に着目したターミナル共有型遠隔サポートシステム

    河合貴嗣, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 74th ( 4 ) page: 4.273-4.274   2012.3

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  102. 加速度センサを用いたエレベータ区間検出と移動距離推定

    YANG Tianhui, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 74th ( 3 ) page: 3.441-3.442   2012.3

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  103. A shared terminal system focused on typing information and its application systems

        page: 37 - 44   2012

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  104. Adaptation of Integrity Maintenance Method for Location Estimation to Large Scale Wireless LAN Observation Database

    HE Tao, 梶克彦, 河口信夫

    電子情報通信学会技術研究報告   Vol. 111 ( 296(MoMuC2011 27-36) ) page: 13 - 18   2011.11

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  105. Constructing and Collecting Indoor Structural Map Data with Crowdsourcing

    鈴木友基, 梶克彦, 河口信夫

    電子情報通信学会技術研究報告   Vol. 111 ( 296(MoMuC2011 27-36) ) page: 1 - 6   2011.11

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  106. HASC2011corpusを用いたサンプリング周波数と人間行動認識率の相関分析

    YUAN Ying, YANG Tianhui, 小川延宏, 梶克彦, 河口信夫

    電気関係学会東海支部連合大会講演論文集(CD-ROM)   Vol. 2011   page: ROMBUNNO.F4-3   2011.9

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  107. 屋内位置情報基盤のためのフロアマップ構造化システム

    鈴木友基, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2011 ( 1 ) page: 713 - 719   2011.6

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  108. SAMTK‐3Dを用いた多地点間仮想空間コミュニケーションとその応用

    浅井俊晴, 中山裕美, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2011 ( 1 ) page: 1664 - 1671   2011.6

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  109. GMMに基づく無線LAN位置推定精度と電波観測情報の関連性評価

    梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2011 ( 1 ) page: 449 - 455   2011.6

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  110. HASC2010corpusを用いた被験者数と人間行動認識率の相関分析

    小川延宏, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2011 ( 1 ) page: 76 - 82   2011.6

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  111. A Streaming Video Augmentation Method for Improving Visibility of the Content

    梶克彦, 河口信夫

    電子情報通信学会技術研究報告   Vol. 111 ( 50(LOIS2011 1-8) ) page: 75 - 82   2011.5

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  112. 多地点間仮想空間コミュニケーションのための3次元音響機能

    中山裕美, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集   Vol. 73rd ( 2 ) page: 2.253-2.254   2011.3

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  113. Integrity Maintenance Method for Wireless LAN Observation Database of Location Estimation

    Kawaguchi Nobuo, Kaji Katsuhiko, He Tao

    情報処理学会第73回全国大会講演論文集   Vol. 3   page: 281 - 282   2011.3

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  114. 仮想空間コミュニケーションのための携帯端末を用いたメディア機器の動的連携手法

    浅井俊晴, 河口信夫, 梶克彦

    全国大会講演論文集   Vol. 2011 ( 1 ) page: 275 - 277   2011.3

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    身の回りにあるカメラ・モニタ・マイク・スピーカといったメディア機器を活用し,&lt;br /&gt;多地点間のグループコミュニケーションを行うことを目的に,スマートホンを操作端&lt;br /&gt;末としてメディア機器を動的に連携させるシステムを開発した.本システムでは,&lt;br /&gt;多数のカメラを利用し,3次元仮想空間上で立体的な映像コミュニケーションが実現&lt;br /&gt;可能である.また,移動の際にも通信を維持したまま異なるメディア機器を渡り歩く&lt;br /&gt;ことが可能である.これを実現するためには,デバイスのアクセス権限,組み合わせ&lt;br /&gt;方,通信品質など多くの設定が必要となる.本連携手法では,スマートホンを用いる&lt;br /&gt;ことにより,煩雑な設定をユーザが行うことなく,システム側が状況を理解し,適切&lt;br /&gt;なメディア機器の連携を実現している.

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  115. 位置推定のための無線LAN観測データベースの健全性維持手法

    何韜, 梶克彦, 河口信夫

    全国大会講演論文集   Vol. 2011 ( 1 ) page: 281 - 283   2011.3

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    無線LANを用いた位置推定技術が一般に利用可能になりつつある.一方,無線LANの基地局は,廃棄されたり,引っ越しなどにより位置が変更される場合もあると同時に,新幹線に搭載されたりモバイルWiFiのように常時移動するような特殊な基地局も存在するため,位置推定の精度低下を引き起こす.本研究では,Locky.jpで収集された80万基地局の無線LAN観測データベースを対象とし,これらの問題となる基地局の検出によりデータベースの健全性を維持する手法を提案する.また,本手法による位置推定精度の向上を検証した.

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  116. Understanding of human activity using large scale database and wearable sensor: towards the next generation of thoughtful wellness system

    河口 信夫

    情報処理   Vol. 52 ( 1 ) page: 32 - 36   2011.1

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  117. 無線LAN屋内位置推定のためのフロアマップの構造化

    鈴木友基, 梶克彦, 河口信夫

    情報処理学会全国大会講演論文集, 2011   Vol. 2011 ( 1 ) page: 287 - 289   2011

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    我々は屋内位置推定技術として、無線LANを用いた手法を研究している。(2010-MBL-56 indoor.Locky)この手法では、推定位置情報をフロアマップの座標として提供している。また、一般ユーザからフロアマップを投稿してもらうことから、フロアマップはカメラで撮影された画像やWebサイトに掲載された画像などの簡易なものであり、情報提供のための構造情報を有していない。本研究では、画像処理やOCRなどを用いて、フロアマップから部屋などの構造情報を抽出する。フロアマップの構造化により、壁など無線LANの電波強度に影響する情報の位置推定への活用や、推定結果を部屋名などで表現することが可能になる。

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  118. Development of the next generation ubiquitous communication and eco enviropnment in Ubigraph Co. Ltd.

    Nobuo Kawaguchi, Shinsuke Ando

    Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers   Vol. 65 ( 5 ) page: 679 - 682   2011

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    DOI: 10.3169/itej.65.679

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  119. indoor.Locky: Wireless LAN Information Platform for Indoor Location Estimation

    梶克彦, 河口信夫

    情報処理学会研究報告(CD-ROM)   Vol. 2010 ( 4 ) page: ROMBUNNO.MBL-56,1   2010.12

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  120. Signal Processing for Human Activity Understanding(Tutorial)

    KAWAGUCHI Nobuo, TAKEDA Kazuya

    The Journal of the Institute of Electronics, Information, and Communication Engineers   Vol. 93 ( 12 ) page: 1060 - 1062   2010.12

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  121. Towards the Construction of the Large Scale Human Sensor Database for the Activity Understandings

    KAWAGUCHI Nobuo

        page: 579 - 582   2010.7

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  122. Automatic Estimation of Twitter Users' Situation for Mobile Application Recommendation

    KAWAGUCHI NOBUO, MATSUBARA SHIGEKI, SUGIKI KENJI, KOZAWA SHUNSUKE, SAKAI YUTA, YANO MOTOKI, SHIRAKI ATSUO

    情報処理学会マルチメディア、分散、協調とモバイル(DICOMO)シンポジウム論文集     page: 251 - 257   2010.7

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  123. 細粒度電力センシングによる浪費電力の検出

    上田泰嵩, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2010 ( 1 ) page: 1817 - 1821   2010.6

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  124. 人間行動理解のための加速度信号処理とその応用

    小川延宏, 梶克彦, 河口信夫

    情報処理学会シンポジウムシリーズ(CD-ROM)   Vol. 2010 ( 1 ) page: 516 - 523   2010.6

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  125. Automation of network troubleshooting based on knowledge base

    紅林 輝, 梶 克彦, 河口 信夫

    インタ-ネットコンファレンス論文集   Vol. 2010   page: 65 - 72   2010

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▼display all

Presentations 90

  1. Urban Sensing and Analysis for Sustainable & Smart City Invited International conference

    Nobuo Kawaguchi

    第3回日独仏AIシンポジウム:人新世における地球規模の課題のためのAI(AI for Sustainable & Smart Cities)  2022.10.27  人工知能研究開発ネットワーク(AI Japan R&D Network)、DWIH東京、在日フランス大使館

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    Event date: 2022.10

    Language:English   Presentation type:Symposium, workshop panel (nominated)  

    Venue:東京都・江東区   Country:Japan  

  2. 超スマート社会における時空間情報の活用と移動イノベーション Invited

    河口信夫

    東京都宮坂副知事主催のオンライン勉強会  2022.4.20  東京都副都知事

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    Event date: 2022.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:オンライン   Country:Japan  

  3. Introduction of WISE program:Graduate Program for Lifestyle Revolution based on Transdisciplinary Mobility Innovation Invited International conference

    Nobuo Kawaguchi

    SUSTAINABLE AND LOW CARBON INDUSTRIAL SYSTEM- Launching Event of the GCoM Asia-Tianjin Cooperation  2023.3.25 

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    Event date: 2023.3

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Tianjin, China   Country:China  

  4. Area2Vec: Modeling Area and Persona from Mobility Big-data International conference

    Nobuo Kawaguchi

    The Second Workshop on Ubiquitous and Multi-domain User Modeling (UMUM2023)  2023.3.17 

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    Event date: 2023.3

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Atlanta, US   Country:United States  

  5. 自動化のインパクト Invited

    河口信夫

    第3回CASE技術基礎講座  2023.3.13  自動車技術会

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    Event date: 2023.3

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:オンライン   Country:Japan  

  6. Introduction of WISE program:Graduate Program for Lifestyle Revolution based on Transdisciplinary Mobility Innovation International conference

    Nobuo Kawaguchi

    5th TMI International Seminar  2023.2.17 

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    Event date: 2023.2

    Language:English   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:online   Country:Japan  

  7. スマートシティとIoTデータ・サービス活用 Invited

    河口信夫

    令和4年度 QBPワークショップ  2023.1.19  九州インターネットプロジェクト

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    Event date: 2023.1

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:北九州市   Country:Japan  

  8. オンサイト共創モデルとデジタルツインの構築について Invited

    河口信夫

    第2回物流イノベーション研究会  2023.1.12  HMHS物流イノベーション研究会

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    Event date: 2023.1

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:オンライン   Country:Japan