Individual identification technique using visual evoked potential signals

R. Palaniappan, P. Raveendran

Research output: Contribution to journalArticleOtherpeer-review

41 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1634-1635
Number of pages2
JournalElectronics Letters
Volume38
Issue number25
DOIs
Publication statusPublished - 5 Dec 2002
Externally publishedYes

Cite this