The use of brain waves as biometrics has been proposed. The brain wave is spontaneously occurring; therefore, it enables to transparently present biometric data, and makes on-demand authentication possible. User management is one of supposable and plausible applications in which the on-demand authentication is required, While using a system, users are authenticated on demand from the system. Assuming driver authentication, we have evaluated the verification performance of brain waves measured in simulated driving environments. In this paper, we divide  α - β  band to several sub-bands and evaluate verification performance in each sub-band. As a result, it is confirmed that each verification performance is quite different from other ones. This result may lead to some kind of knowledge about feasible frequency bands in the brain wave for person authentication.
['Isao Nakanishi', 'Hironao Fukuda', 'Shigang Li']
Biometric verification using brain waves toward on-demand user management systems: performance differences between divided regions in α -- β wave band