Faculty Profiles - YONEZAWA Takuro

Papers - YONEZAWA Takuro

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Continuous Shape Changing Locomotion of 32-legged Spherical Robot. Reviewed

Hiroki Nozaki, Yusei Kujirai, Ryuma Niiyama, Yoshihiro Kawahara, Takuro Yonezawa, Jin Nakazawa

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018 page： 2721 - 2726 2018

OmimamoriNet: An Outdoor Positioning System Based on Wi-SUN FAN Network. Reviewed

Yin Chen,Mina Sakamura, Jin Nakazawa, Takuro Yonezawa, Akira Tsuge, Yuichi Hamada

Eleventh International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018, Auckland, New Zealand, October 5-8, 2018 page： 1 - 6 2018

Senbay: a platform for instantly capturing, integrating, and restreaming of synchronized multiple sensor-data stream. Reviewed

Yuuki Nishiyama,Ani, K. Dey, Denzil Ferreira, Takuro Yonezawa, Jin Nakazawa

Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2018, Barcelona, Spain, September 03-06, 2018 page： 291 - 291 2018

Overview of IUI2018 workshop: User interfaces for spatial and temporal data analysis (UISTDA2018) Reviewed

Wakamiya S., Jatowt A., Kawai Y., Akiyama T., Campos R., Yonezawa T.

Ceur Workshop Proceedings Vol. 2068 2018

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Ceur Workshop Proceedings

Nowadays, humanity generates and contributes to form large and complex datasets, going from documents published on media outlets, posts on social media or location-based information. The generated information tends to be complex, heterogeneous (texts, images, videos, etc.) and is growing at an incredible pace, with much of this data having a strong spatial and temporal focus. This steady increase in the availability of such a volume of information, forces the development of more effective user interfaces that would assist users in efficient visualization, analysis and exploration of the data. This half-day workshop on User Interfaces for Spatial and Temporal Data Analysis (UISTDA) held in conjunction with the IUI2018 conference on March 11th, aimed at sharing the latest progress and developments, current challenges and potential applications for exploiting large amounts of spatial and temporal data. In this paper we provide an overview of the workshop goals together with its main contributions.

Scopus

MyFactor: Individual Characteristic Adaptive Estimation of Factor Information Contributing to Human Internal State Open Access

小渕幹夫, 西山勇毅, 大越匡, 米澤拓郎, 中澤仁

情報処理学会論文誌 Vol. 58 ( 10 ) page： 1674 - 1687 2017.10

Language：Japanese Publishing type：Research paper (scientific journal)

近年，様々なセンサを搭載したスマートフォンの発達と普及により，第三者による客観視が困難である「忙しい」や「疲れている」といった人間の内面状態の推定を行う研究が行われている．人間の内面状態を機械に認識させ，内面状態に寄与している因子に関する情報を人々に還元できれば，人間が自身の感情や気分を制御したり，特定の内面状態の獲得や回避といった行動変容へと応用可能である．しかし，人間の内面状態の認識・分析・還元においては，各個人の多様性に適応した動作の実現が課題である．本研究ではスマートフォンのセンサデータを蓄積し，正解データとなる内面状態の注釈をユーザが記録することで，個人の内面状態に寄与している因子を還元するために，因子情報を解析するシステム「MyFactor」を構築した．大学生13名による111日にわたる評価実験を行った結果，被験者全員のデータを用いて学習を行う「統合モデル」と比較して，各ユーザのデータのみを用いて個別に学習した「個人モデル」においては内面状態の推定精度が21%上昇した．また，利用可能なすべてのセンサからのデータを用いて学習した場合よりも，単一センサからのデータのみを用いて学習を行い，最も高精度で分類を行ったモデルを選択した方が高い推定精度を記録し，ユーザに自身の内面状態に関して深い理解を与える可能性を示した．Recently, due to the advance and spread of smartphones equipped with various sensors, human beings' inner states such as "busyness" or "tiredness" can be detected more accurately. If people can recognize the factors contributing to their inner states, they will be able to regulate their own emotions and moods by paying attention to those factors. However, the adaptive system for each individual's diversity that recognize, analyze, and provide the factors contributing to our inner state is not realized. In this research, we propose a system, MyFactor, that accumulates smartphone sensor data and user annotations about inner states to extract and provide information about the important factors contributing to a user's inner states. In a 111-day experiment with 13 university students, researchers estimated that an "individual model" developed only with the data of each user had a higher predictive accuracy for human inner states than the generic model developed using data from all subjects. In addition, the model with the highest predictive accuracy, trained by a single sensor, performed better and showed the possibility of giving a deeper understanding of human inner states than the model trained using data from all available sensors.

Open Access

CiNii Research

J-GLOBAL

Proposal of a method to detect damaged lane markings based on label propagation

岸本康成, 飯田恭弘, 岩村相哲, 河野慎, 米澤拓郎, 中澤仁, 徳田英幸

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 Vol. 117 ( 210 ) page： 97 - 102 2017.9

Proposal of a method to detect damaged lane markings based on label propagation

岸本康成, 飯田恭弘, 岩村相哲, 河野慎, 米澤拓郎, 中澤仁, 徳田英幸

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 Vol. 117 ( 211 ) page： 97 - 102 2017.9

ユニバーサルセンサネットワークと清掃車を活用した藤沢市のスマート化 Open Access

中澤仁, 陳寅, 米澤拓郎, 大越匡, 徳田英幸

デジタルプラクティス Vol. 8 ( 3 ) page： 244 - 252 2017.7

Language：Japanese Publishing type：Research paper (scientific journal)

さまざまなセンシングデータを実空間から収集し，住民や自治体，大学，民間企業をはじめとするステークホルダ間で共有し，情報の利活用を進めていくことで地域課題の解決に繋げることを目的として，まずセンシングデータの流通プラットフォームとしてユニバーサルセンサネットワーク技術(USN)を提案する．同技術では，物理センサや参加型センサをはじめとする多様なセンサで生成されたデータを，統一的なメタデータを伴って柔軟に流通させられ，通信プロトコルXMPP上のpublish/subscribe機能を用いて，センシングデータの生成側と消費側の相互依存性を解消しながら，スケーラブルなデータ流通を実現している．また，USNを用いた神奈川県藤沢市における実空間センシング事例として，清掃車にピギーバックした環境情報センシングと，行政職員による落書きや不法投棄物といった実空間不具合事象に関する参加型センシングを示す．これらのシステムの開発・運用を通じて，USNにおける仮想デバイスの抽象化を用いた多様なセンサの表現や機能の有効性を示すとともに，応用可能性やスケーラビリティを示す．

DOI： 10.20729/00182453

Open Access

CiNii Research

J-GLOBAL

Likeyboard : Instant Lifelog Data Sharing Using Smartphone Keyboard Interface

石川伶, 佐々木航, 西山勇毅, 大越匡, 米澤拓郎, 中澤仁, 高汐一紀, 徳田英幸

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 Vol. 116 ( 508 ) page： 69 - 74 2017.3

SpoTrip : 観光客リピータ化促進のための隠れスポット情報提供システムの評価 (モバイルネットワークとアプリケーション)

片山晋, 礒川直大, 小渕幹夫, 西山勇毅, 大越匡, 米澤拓郎, 中澤仁, 高汐一紀, 徳田英幸

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 Vol. 116 ( 508 ) page： 157 - 164 2017.3

Likeyboard : Instant Lifelog Data Sharing Using Smartphone Keyboard Interface

石川伶, 佐々木航, 西山勇毅, 大越匡, 米澤拓郎, 中澤仁, 高汐一紀, 徳田英幸

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 Vol. 116 ( 509 ) page： 79 - 84 2017.3

SpoTrip : 観光客リピータ化促進のための隠れスポット情報提供システムの評価 (知的環境とセンサネットワーク)

片山晋, 礒川直大, 小渕幹夫, 西山勇毅, 大越匡, 米澤拓郎, 中澤仁, 高汐一紀, 徳田英幸

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 Vol. 116 ( 509 ) page： 185 - 192 2017.3

C's: Sensing the Quality of Traffic Markings Using Camera-Attached Cars Reviewed Open Access

KAWASAKI Takafumi, KAWANO Makoto, IWAMOTO Takeshi, MATSUMOTO Michito, YONEZAWA Takuro, NAKAZAWA Jin, TOKUDA Hideyuki

SICE Journal of Control, Measurement, and System Integration Vol. 10 ( 5 ) page： 393 - 401 2017

Language：English Publishing type：Research paper (scientific journal) Publisher：The Society of Instrument and Control Engineers

Road maintenance requires local city governments to dedicate a substantial amount of funds in finding and repairing damaged traffic marks and pavements. In developed cities, the total road length is so large that the cost becomes unreasonably high. In this paper, we propose a method of sensing damaged traffic marks from images captured by a camera mounted to a car, for the purpose of reducing road maintenance cost. In particular, we utilized convolutional neural networks (CNN), as well as linear support vector machines (SVM) and Random Forest, in developing a system of damage detection. The experiments used thousands of images captured in the wild and showed that the method can detect damages using CNN with 93% accuracy, at maximum, and at reasonable speed (55 images per second).

DOI： 10.9746/jcmsi.10.393

Open Access

CiNii Research

Road Marking Blur Detection with Drive Recorder Reviewed

Kawano Makoto, Mikami Kazuhiro, Yokoyama Satoshi, Yonezawa Takuro, Nakazawa Jin

2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) page： 4092 - 4097 2017

Interruptibility Map: Geographical Analysis of Users' Interruptibility in Smart Cities Reviewed

Mikio Obuchi, Tadashi Okoshi, Takuro Yonezawa, Jin Nakazawa, Hideyuki Tokuda

2017 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS) page： 357 - 362 2017

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

Investigating users' interruptibility as an indicator of his/her attention status has been essential in recent pervasive computing where the users' attention resources get scarce against ever increasing amounts of information. In this paper, we address research problems related to the users' available interruptibility, their physical activities, and their current locations and situations. We propose the "Interruptibility Map", a geographical tool for analyzing and visualizing the user's local interruptibility status in the context of smart city research. Our map describes where citizens are expected to feel more or less interruptive against notifications produced by computing devices, which are known to have negative effects on work productivity, emotion, and psychological state. We conducted a continuous analysis from our previous research and a new additional in-the-wild user study for 2 weeks with 29 participants to investigate the relationship between one's interruptibility and their locations and situations. As a highlight of our findings, we found certain pairs of user activity change and a location that showed better interruptibility to users, such as an activity change of "when user's riding car(bus) stops" in the bus commute situation.

DOI： 10.1109/PERCOMW.2017.7917588

Web of Science

Scopus

Evaluating the spatio-temporal coverage of automotive sensing for smart cities. Reviewed

Yin Chen, Takuro Yonezawa, Jin Nakazawa, Hideyuki Tokuda

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

Shape changing locomotion by spiny multipedal robot. Reviewed

Hiroki Nozaki, Ryuma Niiyama, Takuro Yonezawa, Jin Nakazawa

2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017, Macau, Macao, December 5-8, 2017 Vol. 2018-January page： 2162 - 2166 2017

Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：IEEE

© 2017 IEEE. The use of geometric is an alternative framework for robotic locomotion instead of animal-inspired structures. We propose a spiny, multi-pedal robot that uses radial linear actuators as the legs. We developed a unique telescopic slide actuator that has a stroke up to 250% of its minimum length. The default form of the robot is a sphere with variable diameters. The radial arrangement of the telescopic slide actuators allows a large range of shape transformation and processes for rolling. We first show the basic properties of the actuator to verify the ability to elevate and propel the body. The single module of the actuator has a weight of 0.4 kg and can output a force of 25 N maximum. We demonstrate that the robot with twelve spines can change its shape to adapt to a level ground, wall, and rocky surfaces. We also show that the robot can roll on level ground with triangle-based strides. We expect further applications in surveillance and unmanned exploration.

DOI： 10.1109/ROBIO.2017.8324739

Scopus

Lokemon:その場に潜むモンスターを介した参加型センシング手法 Reviewed

坂村美奈, 米澤拓郎, 大越匡, 中澤仁, 徳田英幸

研究報告ユビキタスコンピューティングシステム（UBI） Vol. 2017-UBI54 ( 12 ) page： 1 2017

HealthFight: 多数決を用いた食習慣改善ソーシャルメディア Reviewed

栄元優作, 江頭和輝, 河野慎, 西山勇毅, 大越匡, 米澤拓郎, 高汐一紀, 中澤仁

研究報告ユビキタスコンピューティングシステム（UBI） Vol. 2017-UBI55 ( 16 ) page： 1 2017

Evaluating the Spatio-temporal Coverage of Automotive Sensing for Smart Cities Reviewed

Chen, Y; Yonezawa, T; Nakazawa, J; Tokuda, H

2017 TENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU) page： 13 - 17 2017

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Papers - YONEZAWA Takuro