2 August 2006 Human movement tracking based on Kalman filter
Author Affiliations +
Proceedings Volume 6280, Third International Symposium on Precision Mechanical Measurements; 62801E (2006); doi: 10.1117/12.716514
Event: Third International Symposium on Precision Mechanical Measurements, 2006, Urumqi, China
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Zhang, Yuan Luo, "Human movement tracking based on Kalman filter", Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 62801E (2 August 2006); doi: 10.1117/12.716514; https://doi.org/10.1117/12.716514


Filtering (signal processing)

Detection and tracking algorithms

Motion analysis


Computing systems

Imaging systems


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