Study on Arousal Recognition Method Using Electroencephalogram ( EEG ) Signals
نویسندگان
چکیده
Improving arousal recognition accuracy based on EEG signals is important for emotion recognition. In this research, discrete wavelet transform was employed to extract features and cross-level method was proposed to select effective features. Cross-level method showed a great potential for 2-level arousal classification and the recognition accuracy reached to 91.8%. Besides, sensitivity of EEG channels is also discussed based on two ranking methods of SCP (single-channel performance) and ANOVA (analysis of variance). Finally, arousal recognition method based on EEG signals is applied for constructing Japanese emotion database.
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تاریخ انتشار 2014