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

Yoshihiro Ohnishi, Seiichiro Katsura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
Pages4232-4237
Number of pages6
DOIs
Publication statusPublished - 2011
Event37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011 - Melbourne, VIC, Australia
Duration: 2011 Nov 72011 Nov 10

Other

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

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Ohnishi, Y., & Katsura, S. (2011). Motion modeling and search method based on hidden Markov model for motion database. In IECON Proceedings (Industrial Electronics Conference) (pp. 4232-4237). [6120003] https://doi.org/10.1109/IECON.2011.6120003