A Human Body Motion Capture System Using a Wireless Inertial Sensor

DOI

10.2991/wcnme-19.2019.1How to use a DOI?

Keywords

motion capture; inertial navigation; complementary filter; wireless sensor network

Abstract

In this study, a wireless inertial sensor system was designed for application in human motion capture. A human body node displacement and attitude data decoding strategy is proposed based on the gait analysis method, synthesizing the advantages of the complementary filter and Kalman filter methods. A human body motion capture verification platform was set up, and the performance of the wireless inertia sensor network capture system was evaluated. Results show that the designed wireless inertial sensor system can accurately measure joints in the process of human movement in real-time. The proposed attitude algorithm strategy has better accuracy in precise real-time tracking of human motion.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Pengzhan Chen
AU  - Wei Chu
AU  - Junchao Wang
PY  - 2019/06
DA  - 2019/06
TI  - A Human Body Motion Capture System Using a Wireless Inertial Sensor
BT  - Proceedings of the 2019 International Conference on Wireless Communication, Network and Multimedia Engineering (WCNME 2019)
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 2352-538X
UR  - https://doi.org/10.2991/wcnme-19.2019.1
DO  - 10.2991/wcnme-19.2019.1
ID  - Chen2019/06
ER  -