HMM-based error detection of dance step selection for dance partner robot -MS danceR-

Takahiro Takeda, Yasuhisa Hirata, Zhidong Wang, Kazuhiro Kosuge

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

We have proposed a dance partner robot, which has been developed as a platform for realizing the effective humanrobot coordination with physical interactions. In the previous research, we have improved an estimation system for dance steps, which estimates the next dance step intended by a human. Although estimating the intended step is important for realizing the human-robot coordination, the cases that the estimation is failed and that the robot selects an incorrect step are not considered. Such cases have to be discussed carefully for realizing the effective human-robot coordination. In this paper, a method for error detections of dance step selections are proposed, which is designed using Hidden Markov Models. Experimental results illustrate the validity of the proposed method.

本文言語English
ホスト出版物のタイトル2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
ページ5631-5636
ページ数6
DOI
出版ステータスPublished - 2006 12 1
イベント2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
継続期間: 2006 10 92006 10 15

出版物シリーズ

名前IEEE International Conference on Intelligent Robots and Systems

Other

Other2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
国/地域China
CityBeijing
Period06/10/906/10/15

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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