Research of computing in EEG password based on wavelet

A method which used wavelet package is put forward to extract the feature of EEG signals more efficiently. With the help of wavelet the original EEG signals are firstly decomposed and then recomposed at the related frequency range, which is in order to feature extraction, and then computed with BP network technology. The experiment result shows that the wavelet can extract the feature waves efficiently, which are obtain with more than 80 percent identification rate for three participator, person identification could be used by persons with Disabilities and the general public, so it have better adaptation.