Towards adaptive classification of motor imagery EEG using biomimetic pattern recognition

  • Authors:
  • Yanbin Ge;Yan Wu

  • Affiliations:
  • Department of Computer Science and Technology, Tongji University, Shanghai, China;Department of Computer Science and Technology, Tongji University, Shanghai, China

  • Venue:
  • ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
  • Year:
  • 2011

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Abstract

This paper implements Biomimetic Pattern Recognition (BPR) into the adaptive classification of motor imagery EEG data by introducing three adaptive operators. The adaptive BPR works well when facing the problems of non-stationary in on-line BCI. We have conducted some experiments in adaptive scheme and the results demonstrate that our new algorithm is efficiency and robust compared with non-adaptive classifiers.