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Journal of Sensors
Volume 2016 (2016), Article ID 4343797, 15 pages
Research Article

Human Motion Capture Algorithm Based on Inertial Sensors

School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, Jiangxi 330013, China

Received 24 May 2016; Revised 13 September 2016; Accepted 27 October 2016

Academic Editor: Nicola Donato

Copyright © 2016 Pengzhan Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


On the basis of inertial navigation, we conducted a comprehensive analysis of the human body kinematics principle. From the direction of two characteristic parameters, namely, displacement and movement angle, we calculated the attitude of a node during the human motion capture process by combining complementary and Kalman filters. Then, we evaluated the performance of the proposed attitude strategy by selecting different platforms as the validation object. Results show that the proposed strategy for the real-time tracking of the human motion process has higher accuracy than the traditional strategy.