Open Science Research Excellence
%0 Journal Article
%A Ramaswamy Palaniappan
%D 2008 
%J  International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 20, 2008
%T Multiple Mental Thought Parametric Classification: A New Approach for Individual Identification
%U http://waset.org/publications/9152
%V 20
%X This paper reports a new approach on identifying the
individuality of persons by using parametric classification of multiple
mental thoughts. In the approach, electroencephalogram (EEG)
signals were recorded when the subjects were thinking of one or
more (up to five) mental thoughts. Autoregressive features were
computed from these EEG signals and classified by Linear
Discriminant classifier. The results here indicate that near perfect
identification of 400 test EEG patterns from four subjects was
possible, thereby opening up a new avenue in biometrics.
%P 303 - 306