Design and Implementation of Rehabilitation Training and Positioning System Based on Multi-Sensor Information Fusion
- 10.2991/mmme-16.2016.22How to use a DOI?
- Information Fusion; Rehabilitation training; ANN; location; wavelet package; LabVIEW
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.
- © 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/).
Cite this article
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 -