Title :
Single trial analysis on EEG signatures to identify individuals
Author :
Hema, C.R. ; Osman, Adzizul A.
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Pauh, Malaysia
Abstract :
This paper presents a biometric authentication system using brain signature to identify individuals. Research on brain signals has shown that each individual has a unique brain wave pattern for similar activities. EEG signals are recorded for three mental tasks from different subjects to extract the distinctive brain signature of the individual. 15 subjects participated in this experiment. A novel protocol and algorithm using neural networks is proposed. Single trial analysis is performed to test the performance of the proposed algorithm. The identification performance of the neural network by single trial analysis is 78.6%.
Keywords :
biometrics (access control); electroencephalography; medical signal processing; neural nets; EEG signatures; biometric authentication system; brain wave pattern; mental tasks; neural networks; single trial analysis; Authentication; Biological neural networks; Biomedical signal processing; Biometrics; Electrodes; Electroencephalography; Fingerprint recognition; Neurons; Performance analysis; Signal processing algorithms;
Conference_Titel :
Signal Processing and Its Applications (CSPA), 2010 6th International Colloquium on
Conference_Location :
Mallaca City
Print_ISBN :
978-1-4244-7121-8
DOI :
10.1109/CSPA.2010.5545313