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Energy of brain potentials evoked during visual stimulus: A new biometric?

Palaniappan, Ramaswamy and Mandic, D.P. (2005) Energy of brain potentials evoked during visual stimulus: A new biometric? In: Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 15th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 735-740. ISBN 978-3-540-28755-1. E-ISBN 978-3-540-28756-8. (doi:10.1007/11550907_117) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
https://doi.org/10.1007/11550907_117

Abstract

We further explore the possibility of using the energy of brain potentials evoked during processing of visual stimuli (VS) as a new biometric tool, where biometric features representing the energy of high frequency electroen-cephalogram (EEG) spectra are used in the person identification paradigm. For convenience and ease of processing of cognitive processing, in the experiments, simple black and white drawings of common objects are used as VS. In the classification stage, the Elman neural network is employed to classify the generated EEG features. The high recognition rate of 99.62% on an ensemble of 800 raw EEG signals indicates the potential of the proposed method.

Item Type: Book section
DOI/Identification number: 10.1007/11550907_117
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - Lect. Notes Comput. Sci. [Field not mapped to EPrints] AD - Department of Computer Science, University of Essex, Colchester, United Kingdom [Field not mapped to EPrints] AD - Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] C3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [Field not mapped to EPrints]
Uncontrolled keywords: Classification (of information), Cognitive systems, Electroencephalography, Neural networks, Pattern recognition, Signal processing, Visual communication, Biometric features, Cognitive processing, Identification paradigms, Visual stimulus, Brain
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 16:11 UTC
Last Modified: 29 May 2019 14:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70742 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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