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  • Research Article
  • Open Access

Unobtrusive Biometric System Based on Electroencephalogram Analysis

EURASIP Journal on Advances in Signal Processing20072008:143728

  • Received: 30 April 2007
  • Accepted: 8 October 2007
  • Published:


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.


  • System Performance
  • Information Technology
  • Performance Analysis
  • Quantum Information
  • Acceptance Rate

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Authors’ Affiliations

Starlab S. L., Camí a l'Observatori Fabra, Barcelona, 08035, Spain
Department of Information and Communication Technologies, Pompeu Fabra University, Plaça de la Mercè, 10-12, Barcelona, 08003, Spain
Department de Psiquiatria i Psicobiologia Clínica, Universitat de Barcelona, Vall d'Hebron 171, Barcelona, 08035, Spain


© A. Riera et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.