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
An Usability Study of Continuous Biometrics Authentication
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Proceedings of the 6th International Conference on Security of Information and Networks
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In this study, we investigate the practical application of brain wave biometrics to operator authentication of a system where the operator wears a brain wave sensor, and is authenticated while using the system. The verification performance is examined for subjects under the eye-closed and relaxed condition, and the eye-closed and mentally tasked condition. In the latter case, we assume biometric verification of computer users, and we adopt a mental task that we call mental composition. In addition, this application is made more practical by using an electroencephalograph that has a single electrode. Further, we propose simple feature extraction and verification based on spectral information. Our experiments on a set of approximately 20 subjects yield an equal error rate (EER) of approximately 15%.