中国邮电高校学报(英文) ›› 2015, Vol. 22 ›› Issue (2): 74-80.doi: 10.1016/S1005-8885(15)60642-2

• Artificial Intelligence • 上一篇    下一篇

Intelligent wheelchair system based on sEMG and head gesture

张毅1,2,冯晓林2,罗元4   

  • 收稿日期:2014-09-09 修回日期:2015-01-19 出版日期:2015-04-30 发布日期:2015-04-22
  • 通讯作者: 冯晓林 E-mail:fengxiaolin147@126.com
  • 基金资助:

    科技部“基于多模人-机接口技术的智能轮椅”国际合作项目;国家自然科学基金项目;国家自然科学基金项目

Intelligent wheelchair system based on sEMG and head gesture

  • Received:2014-09-09 Revised:2015-01-19 Online:2015-04-30 Published:2015-04-22

摘要:

Because the single channel surface electromyographic (sEMG) signals easily caused a complex operation during the real-time operation, an intelligent wheelchair system based on sEMG and head gesture was proposed in this paper. A distributed parallelly decision fusion algorithm fused classification results of the two signals to form a final judgment. After sEMG was decomposed by wavelet packet, feature information of some subspace was weaken, because subspace dimension was very large. To solve the problem, the paper proposed an improved wavelet packet decomposition algorithm, which extracted sample entropy from four subspaces of improved wavelet packet decomposition and took it as the feature information. Experimental results show that the intelligent wheelchair system based on sEMG and head gesture has not only a simple operation and shorter operating time, but also a better stability and security.

关键词:

sEMG, head gesture, decision fusion, improved wavelet packet, intelligent wheelchair

Abstract:

Because the single channel surface electromyographic (sEMG) signals easily caused a complex operation during the real-time operation, an intelligent wheelchair system based on sEMG and head gesture was proposed in this paper. A distributed parallelly decision fusion algorithm fused classification results of the two signals to form a final judgment. After sEMG was decomposed by wavelet packet, feature information of some subspace was weaken, because subspace dimension was very large. To solve the problem, the paper proposed an improved wavelet packet decomposition algorithm, which extracted sample entropy from four subspaces of improved wavelet packet decomposition and took it as the feature information. Experimental results show that the intelligent wheelchair system based on sEMG and head gesture has not only a simple operation and shorter operating time, but also a better stability and security.

Key words:

sEMG, head gesture, decision fusion, improved wavelet packet, intelligent wheelchair

中图分类号: