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Anatomy-based Optical Motion Capture for Integral Joint Motion Visualization and Analysis

Kang, M. and Yahia-Cherif, L. and Molet, T. and Gilles, B. and Moccozet, L. and Magnenat-Thalmann, N.


Abstract: We propose a methodology to improve the accuracy of joint motions optical acquisition and enhance the visualization of the virtually replicated motion for biomedical applications. The joint of the subject is reconstructed from medical images including the 3D shapes of the bones and kinematical data such as the joint center for motion simulation. The subject visualization model is built by inserting the reconstructed joint inside an H-ANIM model fitted to the real measurements of the subject. Finally, the visualization model is calibrated and the captured motion mapped onto the anatomical visualization model. This methodology provides a subject-fair visualization model for optical motion capture based on the morphology and anatomy of the volunteer so that the motion simulated from the subject is closer to the real situation. It also provides an integral visualization of joint motion by correlating the external motion of the subject with the internal motion of the joint.


@inproceedings{420,
  booktitle = {CUSO, International Workshop on Virtual Rehabilitation},
  author = {Kang, M. and Yahia-Cherif, L. and Molet, T. and Gilles, B. and Moccozet, L. and Magnenat-Thalmann, N.},
  title = {Anatomy-based Optical Motion Capture for Integral Joint Motion Visualization and Analysis},
  pages = {99-107},
  month = sep,
  year = {2004},
  topic = {Motion Capture, Body Animation and Control}
}