Human movement tracking based on Kalman filter

Yi Zhang; Yuan Luo

doi:10.1117/12.716514

2 August 2006 Human movement tracking based on Kalman filter

Yi Zhang, Yuan Luo

Author Affiliations +

Proceedings Volume 6280, Third International Symposium on Precision Mechanical Measurements; 62801E (2006) https://doi.org/10.1117/12.716514
Event: Third International Symposium on Precision Mechanical Measurements, 2006, Urumqi, China

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.

Citation Download Citation

Yi Zhang and Yuan Luo "Human movement tracking based on Kalman filter", Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 62801E (2 August 2006); https://doi.org/10.1117/12.716514

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