Recognising Individuals Using Their Brain Patterns
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Neural network based person identification using EEG features
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Biometrics from Brain Electrical Activity: A Machine Learning Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unobtrusive biometric system based on electroencephalogram analysis
EURASIP Journal on Advances in Signal Processing
Identifying Individuality Using Mental Task Based Brain Computer Interface
ICISIP '05 Proceedings of the 2005 3rd International Conference on Intelligent Sensing and Information Processing
Evaluation of Brain Waves as Biometrics for Driver Authentication Using Simplified Driving Simulator
ICBAKE '11 Proceedings of the 2011 International Conference on Biometrics and Kansei Engineering
Brain waves as biometrics in relaxed and mentally tasked conditions with eyes closed
International Journal of Biometrics
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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.