Gait measurement for human behavior estimation against autonomous mobile robot

Ayanori Yorozu, Masaki Takahashi

研究成果: Conference contribution

抄録

To realize a safe collision avoidance of autonomous mobile robots, understanding human behavior against the robots is important. This paper has proposed a gait measurement method for human behavior estimation against autonomous mobile robot. The proposed method using a laser range sensor consists of five observed leg patterns recognition and global nearest neighbor (GNN)-based data association with a variable validation region based on the state of each leg. To verify the effectiveness of the proposed system, a verification test in a hospital that staff is recruited as participants were carried out. From the experimental results in the hospital, we confirm that the proposed method can reduce the chance of losing track of both legs and the variable validation region can reduce the chance of false tracking.

本文言語English
ホスト出版物のタイトルIntelligent Autonomous Systems - Proceedings of the 13th International Conference IAS, 2014
編集者Hiroaki Yamaguchi, Nathan Michael, Karsten Berns, Emanuele Menegatti
出版社Springer Verlag
ページ1021-1033
ページ数13
ISBN(印刷版)9783319083377
DOI
出版ステータスPublished - 2016
イベント13th International Conference on Intelligent Autonomous Systems, IAS 2014 - Padova, Italy
継続期間: 2014 7月 152014 7月 18

出版物シリーズ

名前Advances in Intelligent Systems and Computing
302
ISSN(印刷版)2194-5357

Other

Other13th International Conference on Intelligent Autonomous Systems, IAS 2014
国/地域Italy
CityPadova
Period14/7/1514/7/18

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

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