Motion modeling and search method based on hidden Markov model for motion database

Yoshihiro Ohnishi, Seiichiro Katsura

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In order to address the problem such as aging of workers and craftsmen, motion database is considered to be important. Conventionally, motion capture or acceleration sensor is generally used for motion modeling. However, these methods can not get force information, which is important factor for motion modeling. In this research, motion search method based on hidden Markov model is proposed in order to make the motion database practical. In the motion modeling, force information is obtained using motion copying system. Because the force information is include in the model, more developed motion database is expected. In addition, motion search becomes possible by using hidden Markov model. The validity of proposed method is confirmed by experiment.

本文言語English
ホスト出版物のタイトルProceedings
ホスト出版物のサブタイトルIECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society
ページ4232-4237
ページ数6
DOI
出版ステータスPublished - 2011 12 1
イベント37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011 - Melbourne, VIC, Australia
継続期間: 2011 11 72011 11 10

出版物シリーズ

名前IECON Proceedings (Industrial Electronics Conference)

Other

Other37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011
CountryAustralia
CityMelbourne, VIC
Period11/11/711/11/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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