|
Published Articles >> Table of Contents >> Abstract
2005 International Conference on Cyberworlds (CW'05)
pp. 483-489
Range of motion estimation from Mocap data
Hiroshi Yasuda, Graduate School of Information Science and Engineering, Tokyo Institute of Technology
Suguru Saito, Graduate School of Information Science and Engineering, Tokyo Institute of Technology
Masayuki Nakajima, National Institute of Informatics
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CW.2005.73
Send link to a friend
| Abstract |
|
In this paper, we propose a novel technique to estimate
joint ROM (Range of motion) from Mocap (Motion capture)
data. For each joint, the probability density function of joint
angle is estimated by Mixture of Gaussian, and the angle
space is divided into Voronoi cells which have a kernel of
Gaussian at these centers. Then, the sets of the Voronoi
cells in two different joints, which occur in the Mocap data,
are used to approximate the ROM taking into account the
change related to the angle of the other joint.
As all of this estimation processes are performed on the
simple ball joint model, we do not need to introduce any
complex musculo-skeletal model. Our method can also estimate
the ROMs even for the joints which have difficulty to
measure the angle directly by physical measurement as well
as the joints of limbs.
|
 Additional Information
|
Citation:
Hiroshi Yasuda, Suguru Saito, Masayuki Nakajima,
"Range of motion estimation from Mocap data,"
cw,
pp. 483-489,
2005 International Conference on Cyberworlds (CW'05),
2005
|
|
