›› 2012, Vol. 25 ›› Issue (1): 48-.

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Augmented Filter Bank Common Spatial Pattern in Motor Imagery-based Brain-Computer Interface

 HOU Bing-Wen, LIU Peng, ZHOU Guang-Yu, HE Jia-Quan   

  1. (1.School of Science,Xidian University,Xi'an 710071,China;2.School of Life Science,Xidian University,Xi'an 710071,China)
  • Online:2012-01-15 Published:2012-01-10

Abstract:

This paper proposes the augmented Filter Bank Common Spatial Pattern,a novel feature extraction algorithm for the motor imagery-based brain-computer interface.Compared with the Filter Bank Common Spatial Pattern,our method takes into full consideration the specificity temporal information,in which ERD happens in motor imagery.In this way,more features are acquired,and the higher accuracy and kappa value are obtained by these features.Two kinds of feature selection algorithms are employed in the BCI competition dataset.The results show that the accuracy based method yields superior classification accuracy compared with that based on mutual information.

Key words: brain-computer interface;motor imagery;feature extraction;filter bank common spatial pattern algorithm

CLC Number: 

  • TP242