关键词: 身份识别, 二阶盲辨识, 运动想象, 脑电

Abstract: Subjects are identified by classifying motor imagery EEG signal.Second-Order Blind Identification（SOBI），a Blind Source Separation（BSS） algorithm is applied to preprocess EEG data for higher signal-to-noise ratio.Subsequently，Fisher distance is used to extract features.Finally，classification of extracted features is performed by back-propagation neural networks.Four types motor imagery EEG of three subjects is classified respectively.The results show that the average classification accuracy achieves over 80%，and the highest is 88.1% on tongue movement imagery EEG.

Key words: person identification, second-order blind identification, motor imagery, Electroencephalo gram（EEG）