Presentation 2008-09-05
Estimation of wrist joint and its musculoskeletal model from motion capture data
Junyoung PARK, Fumihito KYOTA, Suguru SAITO, Masayuki NAKAJIMA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) There are many difficulties in representing accurate movement of the joints of the human body. Not only are there many different types of joints, but joints also vary from person to person. We propose a method to estimate the shape of the articulatio radiocarpalis (wrist joint) as an ellipsoid joint, and how to represent the joint in SE(3). First, the motion of the wrist joint is recorded using an optical motion capture system and estimate the shape of the ellipsoid using the path of the motion data. Next, we define the ellipsoid joint as a matrix in SE(3) using Lie groups. Finally, We also present how to calculate the kinematics of the joint as the joint representation, and then compare our ellipsoid joint to a traditional ball joint model in order to evaluate the joint movement. Our ellipsoid joint can model the movement of the human wrist more accurately than the ball joint model as an ellipseal shape is more similar to a real human wrist joint.
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # PRMU2008-62,HIP2008-62
Date of Issue

Conference Information
Committee PRMU
Conference Date 2008/8/29(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of wrist joint and its musculoskeletal model from motion capture data
Sub Title (in English)
Keyword(1)
1st Author's Name Junyoung PARK
1st Author's Affiliation Graduate School of Information Science & Engineering, Tokyo Institute of Technology()
2nd Author's Name Fumihito KYOTA
2nd Author's Affiliation Graduate School of Information Science & Engineering, Tokyo Institute of Technology
3rd Author's Name Suguru SAITO
3rd Author's Affiliation Graduate School of Information Science & Engineering, Tokyo Institute of Technology
4th Author's Name Masayuki NAKAJIMA
4th Author's Affiliation Graduate School of Information Science & Engineering, Tokyo Institute of Technology
Date 2008-09-05
Paper # PRMU2008-62,HIP2008-62
Volume (vol) vol.108
Number (no) 198
Page pp.pp.-
#Pages 6
Date of Issue