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Investigating the impacts of epilepsy on EEG-based person identification systems
conference contribution
posted on 2014-01-01, 00:00 authored by D Phung, D Tran, W Ma, Phuoc NguyenPhuoc Nguyen, T PhamPerson identification using electroencephalogram (EEG) as biometric has been widely used since it is capable of achieving high identification rate. Epilepsy is one of the brain disorders that involves in the EEG signal and hence it may have impact on EEG-based person identification systems. However, this issue has not been investigated. In this paper, we perform person identification on two groups of subjects, normal and epileptic to investigate the impact of epilepsy on the identification rate. Autoregressive model (AR) and Approximate entropy (ApEn) are employed to extract features from these two groups. Experimental results show that epilepsy actually have impacts depending on feature extraction method used in the system.
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Event
International Neural Network Society. Conference (2014 : Beijing, China)Series
International Neural Network Society ConferencePagination
3644 - 3648Publisher
Institute of Electrical and Electronics EngineersLocation
Beijing, ChinaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2014-07-06End date
2014-07-11ISBN-13
9781479914845Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2014, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural NetworksUsage metrics
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