DocumentCode :
3180863
Title :
Displacement estimation in micro-sensor motion capture
Author :
Meng, Xiaoli ; Sun, Shuyan ; Ji, Lianying ; Wu, Jiankang ; Wong, Wai-Choong
Author_Institution :
Grad. Univ. of Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
2611
Lastpage :
2618
Abstract :
The use of wearable micro-sensors provides an easy-to-use and cost-efficient way for human motion capture. It is essential but difficult to estimate the global displacements of human walking in micro-sensor motion capture system. This paper proposes a novel method to estimate the global displacements of walking based on the pedestrian dead reckoning technique. The global displacements are obtained from the estimated walking distance and the heading direction. Walking distance is calculated using the extension and flexion angles of the lower limbs. Heading is estimated by the fusion of magnetometer and gyroscope readings accomplished by a complementary Kalman filter. The displacements are used to drive a skeleton model to animate the walking movements of the subject. Walking experiments have demonstrated that the proposed method can estimate the displacements accurately and animate the human walking motions smoothly and vividly.
Keywords :
Kalman filters; displacement measurement; gyroscopes; magnetometers; microsensors; motion estimation; Kalman filter; displacement estimation; gyroscope readings; magnetometer; microsensor motion capture; pedestrian dead reckoning technique; Displacement measurement; Estimation; Humans; Magnetometers; Measurement units; complementary Kalman filter; global displacement; human motion capture; micro-sensors; walking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5641907
Filename :
5641907
Link To Document :
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