Spatial Signatures for EEG-based Biometric Person Recognition

• Published in: 9th International Conference on Imaging for Crime Detection and Prevention (ICDP-2019) pp. 12 (68 - 73
• Main Authors: Al-Darkazali, M, Hoque, S, Deravi, F
• Format: Conference Proceeding
• Language: English
• Published: Stevenage, UK IET 2019; The Institution of Engineering & Technology
• Subjects: Bioelectric signals; Biology and medical computing; Biometrics; Computer vision and image processing techniques; Digital signal processing; Electrical activity in neurophysiological processes; Electrodiagnostics and other electrical measurement techniques; Electroencephalography; Image recognition; Other topics in statistics; Recognition; Signal processing and detection; Speech processing techniques; Speech recognition and synthesis; Visual signals; electroencephalography; visual representation; DEAP database; co-activation feature; biometrics (access control); visual signature; identity-bearing nature; spatial correlations; medical signal processing; spatial signatures; feature extraction; EEG signals; EEG-based biometric person recognition
• ISBN: 9781839531095; 1839531096
• DOI: 10.1049/cp.2019.1170

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.