Research of computing in EEG password based on wavelet

Author

Jiang, Derong ; Hu, Jianfeng

Author_Institution

Inst. of Inf. Technol., Jiangxi Bluesky Univ., Nanchang, China

fYear

2009

fDate

13-14 Dec. 2009

Firstpage

98

Lastpage

101

Abstract

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.

Keywords

electroencephalography; security of data; wavelet transforms; BP network technology; EEG signals; feature waves extraction; identification rate; password computing; wavelet package; Biomedical computing; Biomedical engineering; Biometrics; Digital filters; Electrodes; Electroencephalography; Electronic mail; Feature extraction; Frequency; Psychology; BP network; EEG password; EEG(electroencephalogram); Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future

Conference_Location

Sanya

Print_ISBN

978-1-4244-4690-2

Electronic_ISBN

978-1-4244-4692-6

Type

conf

DOI

10.1109/FBIE.2009.5405782

Filename

5405782