EEG Password Computing Method Based on Wavelet Analysis

A method which used wavelet package is put forward to extract the feature of Eectroencephalogram(EEG) signals more efficiently. With the help of wavelet,the original EEG signals are decomposed and recomposed at the related frequency range,which is in order to feature extraction,and computed with BP neural network technology. Experimental result shows that the wavelet can extract the feature waves efficiently,which are obtained with more than 80 percent identification rate for three participators,person identification can be used by persons with disabilities and the general public,it has better adaptation.