Detecting Optimal Regions for a Single EEG Channel Biometric System

Abstract

Innovative security systems are increasingly making use of biometric modalities as an authentication method. However, the biometric technology that is presently available on the market provides solutions to a significant number of these difficulties. The widespread use of bogus biometrics in today’s society is one of the most significant reasons for concern. The results of an electroencephalogram (EEG) can provide some interesting information on the matter. This is a highly challenging endeavour since reproduction calls for careful preparation on your part. Several different investigations have shown that the procedure may be trusted to provide accurate results. Nonetheless, the collecting of data necessitates a large expenditure of time in addition to the sensors. In this study, we provide a biometric technique that takes use of EO resting-state EEG recordings that were taken from a single-channel electrode placement on the scalp. These recordings were generated in order to determine the precision of the method. The electroencephalograms (EEGs) of all nine persons who were examined yielded a total of 45 different signals. The interval of time that passed between each EEG wave segment was under five seconds. This specific piece of study focused its attention on the