Unobtrusive biometric system based on electroencephalogram analysis

Authors:
A. Riera;A. Soria-Frisch;M. Caparrini;C. Grau;G. Ruffini
Affiliations:
Starlab S. L., Camí a l'Observatori Fabra, Barcelona, Spain;Starlab S. L., Camí a l'Observatori Fabra, Barcelona, Spain and Department of Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain;Starlab S. L., Camí a l'Observatori Fabra, Barcelona, Spain;Starlab S. L., Camí a l'Observatori Fabra, Barcelona, Spain and Department de Psiquiatria i Psicobiologia Clínica, Universitat de Barcelona, Barcelona, Spain;Starlab S. L., Camí a l'Observatori Fabra, Barcelona, Spain
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2008

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Abstract

Features extracted from electroencephalogram (EEG) recordings have proved to be unique enough between subjects for biometric applications. We show here that biometry based on these recordings offers a novel way to robustly authenticate or identify subjects. In this paper, we present a rapid and unobtrusive authentication method that only uses 2 frontal electrodes referenced to another one placed at the ear lobe. Moreover, the system makes use of a multistage fusion architecture, which demonstrates to improve the system performance. The performance analysis of the system presented in this paper stems from an experiment with 51 subjects and 36 intruders, where an equal error rate (EER) of 3.4% is obtained, that is, true acceptance rate (TAR) of 96.6% and a false acceptance rate (FAR) of 3.4%. The obtained performance measures improve the results of similar systems presented in earlier work.