Motion analysis of interaction mode control using principal component analysis

Hiroki Nagashima, Seiichiro Katsura

研究成果: Conference contribution

抄録

Recently, robot application has been widely used not only in industry but also human society. Hereafter, in order to extend the range of work and kinds of motion in human society, it is needed to think about what human is and what human motion is. In conventional method for analysis of human motion, visual-based approach has widely researched. However, force adjustment is important information for many kinds of task such as processing technology and surgical operation. In addition, in order to acquire the advanced motion for robots, feature amount of advanced motion is needed to analyze. First step of motion analysis based on position and force information, the condition which has theoretical value is conducted. This paper proposes motion analysis method for interaction mode control systems using principal component analysis(PCA). Using the proposal, the dominant component is directly estimated from the motion information. To confirm the effectiveness of the method, motion data abstracted by automated control is used. Validity of the proposal is confirmed by experiment of interaction mode control. Experimental results in this paper are compared with the theoretical value.

本文言語English
ホスト出版物のタイトル2013 IEEE International Conference on Mechatronics, ICM 2013
ページ540-545
ページ数6
DOI
出版ステータスPublished - 2013
イベント2013 IEEE International Conference on Mechatronics, ICM 2013 - Vicenza, Italy
継続期間: 2013 2月 272013 3月 1

出版物シリーズ

名前2013 IEEE International Conference on Mechatronics, ICM 2013

Other

Other2013 IEEE International Conference on Mechatronics, ICM 2013
国/地域Italy
CityVicenza
Period13/2/2713/3/1

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 機械工学

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