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Ergonomic Low Cost Motion Capture for every day health exercise

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4 Author(s)
Dennis Majoe ; Computer Systems Institute, ETH Zurich, Switzerland. dennis.majoe@inf.ethz.ch ; Michel Estermann ; Nicola Ranieri ; Jurg Gutknecht

Pervasive applications often require context information about the posture, ambulatory and work activity of the user. This paper reports ongoing work on the development of a low cost ergonomic approach to motion capture that provides the opportunity to examine diverse body movement in home and office environments. In this research case it is applied to the automatic training of Tai Ji Quan at different levels of complexity. Results of the sensor design, communications architecture and human body computer motion modeling are presented.

Published in:

Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on  (Volume:2 )

Date of Conference:

6-8 Oct. 2008