Design and Implementation of Rehabilitation Training and Positioning System Based on Multi-Sensor Information Fusion

DOI

10.2991/mmme-16.2016.22How to use a DOI?

Keywords

Information Fusion; Rehabilitation training; ANN; location; wavelet package; LabVIEW

Abstract

Towards human motion intention recognition in active rehabilitation, an algorithm of pattern recognition and localization is proposed. Large changes in the overall action signal were paid more attention rather than accu-racy of local signal. The ARM of Cortex-M3 core was used in data acquisition and the LabVIEW to program human-computer interaction interface. Meanwhile the technology of intelligent action decision based on Neu-ral Networks Artificial (ANN) was used and the wavelet packet was used to extract the signal feature of ac-tions. Combined with the rehabilitation staff attributes information such as age, gender, stride length of walk, run, down stairs and up stairs to get the count of the staff's actions and location. Experimental results show that the performance of this method is 100% tested by genetic parameters optimization and the accuracy rate is 96.6667% by ROC. The target can be located according to the track of the target.

Copyright

© 2016, 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  - Qiuzhan Zhou
AU  - Yongchao Xue
AU  - Shuozhang Chen
AU  - Songling Zhang
AU  - Zongheng Lei
AU  - Yujuan Si
PY  - 2016/10
DA  - 2016/10
TI  - Design and Implementation of Rehabilitation Training and Positioning System Based on Multi-Sensor Information Fusion
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SP  - 95
EP  - 104
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.22
DO  - 10.2991/mmme-16.2016.22
ID  - Zhou2016/10
ER  -