研究者詳細 - 河口　信夫

論文 - 河口　信夫

分割表示 548 件中 81 - 100 件目／全件表示 >>

Estimating and Leveraging Latent Social Demand Based on IoT sensors: An Empirical Study in a Large Public Park 査読有り

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 頁： 1 - 8 2021年

担当区分：最終著者記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021

The continuously changing conditions of cities are now technically understandable in the information space through real-world sensing methods and analytical methods such as big data analysis and machine learning. On the other hand, it is currently difficult to estimate and present what the people in the city need (latent demand). This paper aims to solve latent demand by developing Latent Demand Resolver (LD-Resolver), the new latent demand estimation and exchanging system. LD-Resolver has two components, Latent Demand Extractor (LD-Extractor) and Latent Demand Exchanger (LD-Exchanger). LD-Extractor extracts a latent demand from various social conditions using IoT sensors, Web, and SNS. LD-Exchanger has a new structure to exchange a latent demand with an appropriate service supply. Finally, we developed the LD-Resolver and conducted a demonstration experiment at the Higashiyama Zoo and Botanical Garden to verify the method. As a result of the two-week experiment, the proposed method can be effectively used in actual facility operations.

DOI： 10.23919/ICMU50196.2021.9638789

Scopus

researchmap

DigiMobot: Digital Twin for Human-Robot Collaboration in Indoor Environments 査読有り

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

2021 32ND IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) 2021-July 巻頁： 55 - 62 2021年

担当区分：最終著者記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：IEEE Intelligent Vehicles Symposium, Proceedings

Human-robot collaboration and cooperation are critical for Autonomous Mobile Robots (AMRs) in order to use them in indoor environments, such as offices, hospitals, libraries, schools, factories, and warehouses. Since a long transition period might be required to fully automate such facilities, we have to deploy AMRs while improving safety in the mixed environments of human and mobile robots. In addition, human behaviors in such environments might be difficult to predict. In this paper, we present a Digital Twin for Autonomous Mobile Robots system named DigiMobot to support, manage, monitor, and validate AMRs in indoor environments. First, DigiMobot can simulate human behaviors and robot movements to verify and validate AMRs to improve safety in a virtual world. Secondly, DigiMobot can monitor and manage AMRs in the physical world by collecting sensor data from each robot in real-time. Since DigiMobot enables us to test the robot systems in the virtual world, we can deploy and implement AMRs in each facility without any modifications. To show the feasibility of DigiMobot, we develop a software framework and two different types of autonomous mobile robots. Finally, we conduct real-world experiments in a warehouse located in Saitama, Japan, in which more than 400, 000 items are stored for commercial purposes.

DOI： 10.1109/IV48863.2021.9575499

Web of Science

Scopus

researchmap

A Gaze-Based Unobstructive Information Selection by Context-Aware Moving UI in Mixed Reality 査読有り

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) 12782 LNCS 巻頁： 301 - 315 2021年

担当区分：最終著者記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Mixed reality (MR) technology has been attracting attention in the automobile industry and logistics industry for work training and remote work support for newcomers. However, work support using MR technology has the problem that displaying too much information obstructs the user’s field of vision and rather interferes with the work. Therefore, it is necessary to detect the user’s intention and provide only the information that the user wants. In addition, the system should be able to detect naturally from the user’s behavior without interrupting the work, which the user explicitly selects. To solve these problems, in this paper, we use the user’s gaze to determine whether to display content by estimating whether or not they are looking at information. Another problem with gaze-based research in MR work support is that it is difficult to determine which space you are looking at in a space where virtual space and real space intersect. In order to overcome this problem, in this research, we grasp the user’s behavior from the movement of the user’s gaze, and we suggest a way to determine make the user interface (UI) the movement of the gaze that is unlikely to occur during that behavior to see if the user is looking at the UI. As a result of the experiment, we were able to promote the movement of gaze that is different from the characteristics of the movement of gaze during work with the proposed UI movement.

DOI： 10.1007/978-3-030-77015-0_22

Scopus

researchmap

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) 2020-UBI-68 No.26 巻 2020年12月

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第37回巻 2020年12月

Person-Flow Estimation with Preserving Privacy using Multiple 3D People Counters 査読有り

Yoshiteru Nagata, Takuro Yonezawa, Nobuo Kawaguchi

Transaction of 5th EAI International Conference on IoT in Urban Space 2020年12月

Autonomous Mobile Robot System for Human Machine Harmonization using Harmoawre 招待有り

Nobuo Kawaguchi

IEEE InTech Forum 2020年12月

COVID-19における人流分析とHarmoware-VISによる可視化招待有り

河口信夫

電子情報通信学会 SeMI 研究会 2020年11月

COVID-19における人流分析とHarmoware-VISによる可視化招待有り

河口信夫

電子情報通信学会 SeMI 研究会 2020年11月

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査読有り

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. 61 巻 ( No. 10 ) 2020年10月

A Basic Study on Ballroom Dance Figure Classification with LSTM using Multi-modal Sensor 査読有り

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

2nd International Conference on Activity and Behavior Computing 2020年9月

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年9月

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年9月

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年9月

Civic Crowdsensing through Location-aware Virtual Monsters 査読有り

Takuro Yonezawa, Mina Sakamura, Jin Nakazawa, Nobuo Kawaguchi

22nd INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION (HCII 2020) 2020年7月

Civic Crowdsensing Through Location-Aware Virtual Monsters 査読有り

Yonezawa T., Sakamura M., Kawaguchi N., Nakazawa J.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12203 LNCS 巻頁： 464 - 476 2020年7月

担当区分：最終著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

We present a new model for encouraging people to get involved with monitoring and taking part in the life of cities. Cities could be smarter if IoT and people could serve as engaged and pro-active data resources (i.e., crowd sensing). This study tackles two challenges: methods by which the privacy of people who act as sensors/actuators can be guaranteed and methods to create a unified programming model for crowd sensors alongside other IoT functions. To achieve these goals, we introduce a new concept called Lokemon (Location Monster). Each sensing space is characterized as a personified target. Lokemon asks users to imagine themselves to be monsters associated with target spots when achieving sensing tasks. Lokemon is also expressed as a PubSub node so that the data from Lokemon can be easily accessed in the same way as data from IoT is assessed. The article explains the concept of Lokemon and its programming model. We report our evaluation of the effectiveness of Lokemon in a campus experiment that was performed for four weeks.

DOI： 10.1007/978-3-030-50344-4_33

Scopus

researchmap

その他リンク： https://dblp.uni-trier.de/db/conf/hci/hci2020-23.html#YonezawaSKN20

Nurse Care Activity Recognition Challenge: A Comparative Verification of Multiple Preprocessing Approaches 査読有り

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 頁： 414 2020年7月

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年6月

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年6月

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年6月

　前のページ - 次のページ　

<河口 信夫>

論文 - 河口 信夫

<河口　信夫>

論文 - 河口　信夫