Development of A Walking-Trajectory Measurement System

Nina Tajima, Koichiro Kato, Daigo Kurokawa, Nobuto Matsuhira, Kanako Amano, Yuka Kato

研究成果: Conference contribution

抄録

In recent years, robots have attracted attention to provide a supplemental workforce in Japan as the working population decreases. A reception and response control system using the interface robot ApriPoco™ has been studied, measuring human walking trajectories using a laser range finder, but accurate measurements have been impeded by overlapping people and trajectories leading to missing data. Therefore, in this paper, we propose a system that uses Gaussian process regression to predict human trajectories in addition to the conventional system. Three-directional walking experiments were conducted with groups of one, three, and five people, and the trajectories of the conventional and proposed systems were compared. The experimental results show that the proposed system has fewer missing data than the conventional system and can obtain more accurate trajectories. We also demonstrated human walking-trajectory measurement at a public museum to confirm the effectiveness of this system. In the future, we plan to build a reception system by linking this system with robots.

本文言語English
ホスト出版物のタイトル2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ページ920-925
ページ数6
ISBN(電子版)9781665441001
DOI
出版ステータスPublished - 2021 8 8
イベント18th IEEE International Conference on Mechatronics and Automation, ICMA 2021 - Takamatsu, Japan
継続期間: 2021 8 82021 8 11

出版物シリーズ

名前2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021

Conference

Conference18th IEEE International Conference on Mechatronics and Automation, ICMA 2021
国/地域Japan
CityTakamatsu
Period21/8/821/8/11

ASJC Scopus subject areas

  • 人工知能
  • 電子工学および電気工学
  • 機械工学
  • 制御と最適化

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