Examination and It's Evaluation of Preprocessing Method for Individual Identification in EEG

Abstract

Recently, the technology of BMI that communicates with humans and operates a robot using human brain information has been actively studied. The authentification function using BMI has been studied by previous research. Although many studies focus on feature extraction and learning model creation, there are few studies that discuss the effectiveness of preprocessing. In this study, we implemented an EEG biometric function using image stimulation method. In this paper, we proposed biometric authentication system system using EEG at time of image stimulus. At the same time, we evaluated the change in authentication accuracy in order to verify the preprocessing (digital filter, artifact countermeasure, epoch) method in the authentication system. As a result, authentication accuracy is improved by performing the proposed preprocessing. In addition, it was shown that convenience and security were improved when using the system.