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

Authors:
Ramaswamy Palaniappan;Danilo P. Mandic
Affiliations:
Department of Computer Science, University of Essex, Colchester, United Kingdom;Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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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 electroencephalogram (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.