Chinese Journal of Tissue Engineering Research ›› 2011, Vol. 15 ›› Issue (22): 4103-4106.doi: 10.3969/j.issn.1673-8225.2011.22.027

Previous Articles     Next Articles

Feasibility of surface electromyography signal acquisition for action recognition

Lu Lei, Yin Tao, Jin Jing-na, Li Ying, Liu Zhi-peng   

  1. Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin  300192, China
  • Received:2011-01-06 Revised:2011-04-08 Online:2011-05-28 Published:2011-05-28
  • Contact: Liu Zhi-peng, Master, Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China bme500@163.com
  • About author:Lu Lei★, Studying for master’s degree, Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China Lzpeng67@163.com
  • Supported by:

    the Science and Technology Support Project during the Eleventh Five-year Period, Ministry of Science and Technology, No. 2007BAI07A18*

PDF

1030

Abstract:

BACKGROUND: Surface electromyography (sEMG) are widely adopted because of its scot-free. Because of the non-stationary of signals, sEMG signals can be classified in wavelet packet transform to obtain effective parameters.
OBJECTIVE: To design a detection circuit according to the characteristics of the sEMG, which can pick-up the SEMG signals for action recognition.
METHODS: The high CMMR preamplifier was designed to restrain the common code interference; low-pass filter and active double-T band-stop filter were carried on de-noising processing; sEMG signals could be classified in wavelet packet transform to obtain effective parameters.
RESULTS AND CONCLUSION: In the experiment, the circuit could implement the anticipated target, pick-up the sEMG and restrain the interference with 50 Hz; further, four different actions on hands could be recognized by using sub band energy value extracted in the wavelet packet translation of the sEMG.

CLC Number: