Emerging biometrics: EEG-based identity verification

Rafał Wardziński

doi:10.1117/12.714567

12 October 2006 Emerging biometrics: EEG-based identity verification

Rafał Wardziński

Proceedings Volume 6347, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2006; 634722 (2006) https://doi.org/10.1117/12.714567
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2006, 2006, Wilga, Poland

Abstract

We show that the electroencephalogram (EEG) contains individual-specific information, which can be extracted and used for identity verification. We applied both linear (Auto Regressive) and nonlinear (Generalized Autoregressive Conditional Heteroskedasticity) models to 16 second frames of one channel EEG down-sampled to frequency 60 Hz. We used parameters of this model as the features and employed a Mahalanobis distance-based classifier for identity verification of individuals. The initial testing for 10 persons using measurements distributed over a long period of time reached 88% of correct verifications, showing the potential of our approach, as well as indicating that the results are time invariant.

Citation Download Citation

Rafał Wardziński "Emerging biometrics: EEG-based identity verification", Proc. SPIE 6347, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2006, 634722 (12 October 2006); https://doi.org/10.1117/12.714567

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