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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Unobtrusive Biometric System Based on Electroencephalogram Analysis | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 143728 8 pages doi 10.1155 2008 143728 Research Article Unobtrusive Biometric System Based on Electroencephalogram Analysis A. Riera 1 A. Soria-Frisch 1 2 M. Caparrini 1 C. Grau 1 3 and G. Ruffini1 1 Starlab S. L. Cami a lObservatori Fabra 08035 Barcelona Spain 2 Department of Information and Communication Technologies Pompeu Fabra University Placa de la Merc e 10-12 08003 Barcelona Spain 3 Department de Psiquiatria i Psicobiologia Clinica Universitat de Barcelona Vall d Hebron 171 08035 Barcelona Spain Correspondence should be addressed to A. Riera alejandro.riera@starlab.es Received 30 April 2007 Revised 2 August 2007 Accepted 8 October 2007 Recommended by Konstantinos N. Plataniotis 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. Copyright 2008 A. Riera et al. 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. 1. INTRODUCTION The term biometrics can be defined as the emerging field