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Spatial Signatures for EEG-based Biometric Person Recognition

Al-Darkazali, Mohammed, Hoque, Sanaul, Deravi, Farzin (2019) Spatial Signatures for EEG-based Biometric Person Recognition. In: 9th International Conference on Imaging for Crime Detection and Prevention (ICDP-2019), 16-18 December 2019, London, UK. (In press) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Abstract

Biometric person recognition using EEG signals has received considerable attention in recent years. This paper proposes a new feature based on the co-activation of EEG sensors. A visual representation of this co-activation feature is used to illustrate the identity-bearing nature of the proposed feature. The DEAP database was used to evaluate the proposed feature which was presented in the form of a visual signature indicating the spatial correlations around the scalp of EEG signals for an individual. The results show a high identification accuracy irrespective of the emotional state of the data subjects.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Biometrics, person recognition, feature extraction, EEG
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1653 Human face recognition
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Sanaul Hoque
Date Deposited: 23 Oct 2019 08:35 UTC
Last Modified: 24 Oct 2019 08:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/77736 (The current URI for this page, for reference purposes)
Hoque, Sanaul: https://orcid.org/0000-0001-8627-3429
Deravi, Farzin: https://orcid.org/0000-0003-0885-437X
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