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Brain waves as biometrics in relaxed and mentally tasked conditions with eyes closed

Brain waves as biometrics in relaxed and mentally tasked conditions with eyes closed In this study, we investigate the practical application of brain wave biometrics to operator authentication of a system where the operator wears a brain wave sensor, and is authenticated while using the system. The verification performance is examined for subjects under the eye-closed and relaxed condition, and the eye-closed and mentally tasked condition. In the latter case, we assume biometric verification of computers users, and we adopt a mental task that we call mental composition. In addition, this application is made more practical by using an electroencephalograph that has a single electrode. Further, we propose simple feature extraction and verification based on spectral information. Our experiments on a set of approximately 20 subjects yield an equal error rate (EER) of approximately 15%. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Biometrics Inderscience Publishers

Brain waves as biometrics in relaxed and mentally tasked conditions with eyes closed

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References (14)

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1755-8301
eISSN
1755-831X
DOI
10.1504/IJBM.2012.049732
Publisher site
See Article on Publisher Site

Abstract

In this study, we investigate the practical application of brain wave biometrics to operator authentication of a system where the operator wears a brain wave sensor, and is authenticated while using the system. The verification performance is examined for subjects under the eye-closed and relaxed condition, and the eye-closed and mentally tasked condition. In the latter case, we assume biometric verification of computers users, and we adopt a mental task that we call mental composition. In addition, this application is made more practical by using an electroencephalograph that has a single electrode. Further, we propose simple feature extraction and verification based on spectral information. Our experiments on a set of approximately 20 subjects yield an equal error rate (EER) of approximately 15%.

Journal

International Journal of BiometricsInderscience Publishers

Published: Jan 1, 2012

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