Human Motion Tracking Performance Evaluation Method Based on IMU/TOA Fusion
XU Cheng1,2, HE Jie1,2, ZHANG Xiao-tong1,2, YAO Cui1,2, DUAN Shi-hong1,2, QI Yue1,2
1. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China;
2. Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China
Abstract：With the rapid development of the Internet of things and the body area network,the human motion tracking technology has been widely used in medical,security and many other fields.A human motion tracking method based on IMU/TOA fusion is proposed to solve the problem of error accumulation and drift in a single IMU human motion tracking system.On this basis,the effectiveness of IMU/TOA fusion method is proved theoretically by deducing the cramer-rao lower bound (CRLB) of fusion system.The experimental results show that the proposed human motion tracking method based on IMU/TOA fusion has great improvement in both spatial and temporal performance.
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2019, Vol. 47 
