Design and implementation of full-body motion capture system based on multi-sensor fusion

Yan Bai; Jie Xi; Wendong Liao

doi:10.1117/12.2615157

15 October 2021 Design and implementation of full-body motion capture system based on multi-sensor fusion

Yan Bai, Jie Xi, Wendong Liao

Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 119330Y (2021) https://doi.org/10.1117/12.2615157
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China

Abstract

This paper introduces a wearable human motion capture system based on inertial sensor. The sensor nodes are connected by network cables, while the hub node transits data with the computer through Bluetooth. This system not only ensures the data acquisition rate, but also has no movement restrictions for users, such as requiring them to move within a certain range. Using Python programming and Blende engine, the inertial data of each part of the human body is converted into rotation angle and displacement to drive the human model. Meanwhile, rich human-computer interaction functions and visual interface are designed to reduce the difficulty of use. The final motion capture results show that this system has a good performance in recognizing complex human movements, and can be used as a multi-functional motion capture system in motion analysis, film and television production, virtual reality and other fields.

Citation Download Citation

Yan Bai, Jie Xi, and Wendong Liao "Design and implementation of full-body motion capture system based on multi-sensor fusion", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 119330Y (15 October 2021); https://doi.org/10.1117/12.2615157

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