Evaluation of Brain Waves as Biometrics for Driver Authentication Using Simplified Driving Simulator

The brain wave is able to present biometric data unconsciously, so that it enables continuous or on-demand authentication which is effective in user management. In this paper, assuming an application to driver authentication, we evaluate verification performance of the brain wave using a simplified driving simulator. In addition, dividing the α-β band to several partitions, we propose to extract the difference between a mean value of the power spectrum at each partition in relaxed condition and that in mental-tasked condition as an individual feature. Fusing the differences from higher partitions in verification, the EER of 24% is obtained among 10 subjects.