Citation

Palaniappan, R. and Raveendran, P. (2002) Individual identification technique using visual evoked potential signals. Electronics Letters, 38 (25). pp. 1634-1635. ISSN 00135194

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Abstract

A new individual identification technique using visual evoked potential (VEP) signals is proposed. The technique uses fuzzy ARTMAP (FA) classification of gamma band VEP response from 61 channels extracted while the individual is seeing a single picture. All ten subjects tested are classified correctly with an overall maximum classification rate of 95% across 200 test patterns. The method could be developed into a stand-alone identification system or as an addition to existing identification systems, especially for identifying a group of individuals in a company or factory.

Item Type:	Article
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	24 Aug 2011 02:40
Last Modified:	06 Feb 2014 03:55
URII:	http://shdl.mmu.edu.my/id/eprint/2619

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