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

Published: 01 November 2006 Publication History

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.

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Cited By

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  • (2016)Graph-based representation learning for automatic human motion segmentationMultimedia Tools and Applications10.1007/s11042-016-3480-575:15(9205-9224)Online publication date: 1-Aug-2016
  • (2009)Recent advances on virtual human synthesisScience in China Series F: Information Sciences10.1007/s11432-009-0088-752:5(741-757)Online publication date: 15-May-2009

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cover image ACM Conferences
VRST '06: Proceedings of the ACM symposium on Virtual reality software and technology
November 2006
400 pages
ISBN:1595933212
DOI:10.1145/1180495
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2006

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Author Tags

  1. equations of multi-rigid- body's motion
  2. motion capture data
  3. physical correctness

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Cited By

View all
  • (2016)Graph-based representation learning for automatic human motion segmentationMultimedia Tools and Applications10.1007/s11042-016-3480-575:15(9205-9224)Online publication date: 1-Aug-2016
  • (2009)Recent advances on virtual human synthesisScience in China Series F: Information Sciences10.1007/s11432-009-0088-752:5(741-757)Online publication date: 15-May-2009

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