A robust method for analyzing the physical correctness of motion capture data

  • Authors:
  • Yi Wei;Shihong Xia;Dengming Zhu

  • Affiliations:
  • Graduate school of the Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China

  • Venue:
  • Proceedings of the ACM symposium on Virtual reality software and technology
  • Year:
  • 2006

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Abstract

The physical correctness of motion capture data is important for human motion analysis and athlete training. However, until now there is little work that wholly explores this problem of analyzing the physical correctness of motion capture data. In this paper, we carefully discuss this problem and solve two major issues in it. Firstly, a new form of Newton-Euler equations encoded by quaternions and Euler angles which are very fit for analyzing the motion capture data are proposed. Secondly, a robust optimization method is proposed to correct the motion capture data to satisfy the physical constraints. We demonstrate the advantage of our method with several experiments.