Presentation 2006-07-14
Recognition of human movements by using the ground reaction force and motion capture data
Yuka ARIKI, Jun MORIMOTO,
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Abstract(in English) Motion capture data have been commonly used to generate human-like behaviours for humanoid robots and virtual characters. One of the key issues in behaviour generation studies is how to create a wide variety of motions by combining movement primitives, while each primitive is extracted from human. Previous studies used captured joint angles data for behaviour discrimination and for generating combined behaviours, but have not explicitly considered its physical plausibility. In this study, we consider using not only the motion capture data but also the ground reaction force information to generate physically plausible motions. We selected walking and running motions as the primitive behaviours in our study. We generate a combined behaviour from the two primitive motions, captured from human subjects. We selected frames for transition from one primitive to the other by finding the minimum distance between two frames of the joint angles and ground reaction force. As a result, we could generate a physically plausible motion. We also applied our proposed approach to discriminate the two primitive behaviours from a combined motion. We successfully discriminate two behaviours with using switching state-space models.
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Keyword(in English) Motion recognition / Motion generation / Switching state-sapce models / motion capture
Paper # NC2006-44
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Conference Information
Committee NC
Conference Date 2006/7/7(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Recognition of human movements by using the ground reaction force and motion capture data
Sub Title (in English)
Keyword(1) Motion recognition
Keyword(2) Motion generation
Keyword(3) Switching state-sapce models
Keyword(4) motion capture
1st Author's Name Yuka ARIKI
1st Author's Affiliation Nara Institute of Science and Technology:ATR, CNS()
2nd Author's Name Jun MORIMOTO
2nd Author's Affiliation ATR, CNS:ICORP, JST
Date 2006-07-14
Paper # NC2006-44
Volume (vol) vol.106
Number (no) 163
Page pp.pp.-
#Pages 5
Date of Issue