Presentation 2009/1/5
ESTIMATING THE MOTION OF THE HUMAN JOINTS USING OPTICAL MOTION CAPTURE SYSTEM(International Workshop on Advanced Image Technology 2009)
Junyoung Park, Fumihito Kyota, Suguru Saito, Masayuki Nakajima,
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Abstract(in English) Motion capture systems allow to measure the precise position of markers on the human body in real time. These captured motion data, the marker position data, have to be fitted by a human skeleton model to represent the motion of the human. Typical human skeleton models approximate the joints using a ball joint model. However, because this model cannot represent the human skeleton precisely, errors between the motion data and the movements of the simplified human skeleton model happen. We propose in this paper a method for measuring a translation component of wrist, and elbow joints on upper limb using optical motion capture system. Then we study the errors between the ball joint model and acquired motion data. In addition, we discuss the problem to estimate motion of human joint using optical motion capture system.
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Keyword(in English) motion capture / human joint representation
Paper # IE2008-191
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Committee IE
Conference Date 2009/1/5(1days)
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Registration To Image Engineering (IE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) ESTIMATING THE MOTION OF THE HUMAN JOINTS USING OPTICAL MOTION CAPTURE SYSTEM(International Workshop on Advanced Image Technology 2009)
Sub Title (in English)
Keyword(1) motion capture
Keyword(2) human joint representation
1st Author's Name Junyoung Park
1st Author's Affiliation Department of Computer Science Tokyo Institute of Technology()
2nd Author's Name Fumihito Kyota
2nd Author's Affiliation Department of Computer Science Tokyo Institute of Technology
3rd Author's Name Suguru Saito
3rd Author's Affiliation Department of Computer Science Tokyo Institute of Technology
4th Author's Name Masayuki Nakajima
4th Author's Affiliation Department of Computer Science Tokyo Institute of Technology
Date 2009/1/5
Paper # IE2008-191
Volume (vol) vol.108
Number (no) 373
Page pp.pp.-
#Pages 4
Date of Issue