Recognition approach of human motion with micro-accelerometer based on PCA-BP neural network algorithm

Authors:
Yuxiang Zhang;Huacheng Li;Shiyi Chen;Liuyi Ma
Affiliations:
Xi'an Research Inst of Hi-Tech, Xi'an, China;Xi'an Research Inst of Hi-Tech, Xi'an, China;Xi'an Research Inst of Hi-Tech, Xi'an, China;Xi'an Research Inst of Hi-Tech, Xi'an, China
Venue:
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Year:
2013

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Abstract

A human motion recognition method based on micro-acceleration sensor technology is put forward in this paper. Acceleration information acquire system is designed, which is including a tri-axial accelerometer, a micro-processor, a wireless transmission module and power supply program. The signal preprocessing and methods of feature extraction is analyzed. What's more, the experiment of human hand motion recognition based on BP neural network is carried out, results show that method proposed have recognition rate of 90%, compare the characteristics without processing and through principal component analysis (PCA) respectively after the identification experiment, the results show that the latter improve recognition effect and speed up convergence rate.