Abstract
This paper describes generation of electroencephalography recognition patterns via genetic algorithm. We develop a simpler procedure for generating recognition patterns from an applicability point of view. The technique is time domain analysis based on correlation of electroencephalography data. As an analytical result through experiments, it realizes electroencephalography recognition with 68.2% success rate for unknown data.
