Proceedings of the 6th International Conference on Security of Information and Networks
Brain signal based continuous authentication: functional NIRS approach
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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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 $\alpha$-$\beta$ 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.