Research and Design of Wearable Human Motion Capture System

DOI

10.2991/snce-17.2017.58How to use a DOI?

Keywords

Human Motion Capture; Wearable Sensor; Gesture Calculation

Abstract

This paper analyzes the advantages and disadvantages of the human motion capture, and proposes a wearable human motion capture system based on multi-sensor collaboration. Studying the principle of inertial navigation, through wireless network collaboration form base on multiple sensors (MEMS inertial devices), and using the algorithm based on information fusion technology, accurate human skeleton real-time attitude angle is obtained, completed the task of human motion capture.

Copyright

© 2017, 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  - Qin Gang
AU  - Chen Yi-Xian
PY  - 2017/07
DA  - 2017/07
TI  - Research and Design of Wearable Human Motion Capture System
BT  - Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017)
PB  - Atlantis Press
SP  - 287
EP  - 290
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-17.2017.58
DO  - 10.2991/snce-17.2017.58
ID  - Gang2017/07
ER  -