Dual-task performance assessment robot

Ayanori Yorozu, Ayumi Tanigawa, Masaki Takahashi

研究成果: Conference contribution

抄録

In this paper, dual-task performance assessment robot (DAR) using projection is developed. Falling is a common problem in the growing elderly population. Fall-risk assessment systems have proven to be helpful in community-based fall prevention programs. One of the risk factors of falling is the deterioration of a person's dual-task performance. For example, gait training, which enhances both motor and cognitive functions, is a multi-target stepping task (MTST), in which participants step on assigned colored targets. To evaluate the dual-task performance during MTST in human living space, projection mapping and robot navigation to maintain a safe distance from the participant are key technologies. Projection mapping is used to evaluate the long-distance dual-task performance, where MTST images are displayed on the floor by the moving DAR. To evaluate the accuracy of the projected target position, experiments for MTST projection using the moving DAR and video analysis are carried out. Additionally, to verify the validity of the MTST by the moving DAR at a constant speed, experiments with several young participants are carried out.

本文言語English
ホスト出版物のタイトルIROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
出版社Institute of Electrical and Electronics Engineers Inc.
ページ6929-6934
ページ数6
ISBN(電子版)9781538626825
DOI
出版ステータスPublished - 2017 12 13
イベント2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada
継続期間: 2017 9 242017 9 28

出版物シリーズ

名前IEEE International Conference on Intelligent Robots and Systems
2017-September
ISSN(印刷版)2153-0858
ISSN(電子版)2153-0866

Other

Other2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
国/地域Canada
CityVancouver
Period17/9/2417/9/28

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

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