Brain waves as unconscious biometrics towards continuous authentication - the effects of introducing PCA into feature extraction

For user management in high-security systems, continuous authentication is required, where unconscious biometrics is suitable. We have proposed to use brain waves as such unconscious biometrics. Assuming continuous authentication of drivers, we have measured brain waves in virtual driving environments and evaluated the verification performance. In this paper, we introduce Principle Component Analysis (PCA) into the feature extraction. It is confirmed that the introduction of PCA is effective for improving the verification performance.