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Proceedings Paper

Human movement tracking based on Kalman filter
Author(s): Yi Zhang; Yuan Luo
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Paper Abstract

During the rehabilitation process of the post-stroke patients is conducted, their movements need to be localized and learned so that incorrect movement can be instantly modified or tuned. Therefore, tracking these movement becomes vital and necessary for the rehabilitative course. In the technologies of human movement tracking, the position prediction of human movement is very important. In this paper, we first analyze the configuration of the human movement system and choice of sensors. Then, The Kalman filter algorithm and its modified algorithm are proposed and to be used to predict the position of human movement. In the end, on the basis of analyzing the performance of the method, it is clear that the method described can be used to the system of human movement tracking.

Paper Details

Date Published: 2 August 2006
PDF: 6 pages
Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 62801E (2 August 2006); doi: 10.1117/12.716514
Show Author Affiliations
Yi Zhang, Chongqing Univ. of Posts and Telecommunications (China)
Yuan Luo, Chongqing Univ. of Posts and Telecommunications (China)

Published in SPIE Proceedings Vol. 6280:
Third International Symposium on Precision Mechanical Measurements
Kuang-Chao Fan; Wei Gao; Xiaofen Yu; Wenhao Huang; Penghao Hu, Editor(s)

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