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Individual Identification Using Cognitive Electroencephalographic Neurodynamics

Authors
Min, Byoung-KyongSuk, Heung-IlAhn, Min-HeeLee, Min-HoLee, Seong-Whan
Issue Date
9월-2017
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Electroencephalography; causality; cognitive system; identification; support vector machine; top-down processing
Citation
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, v.12, no.9, pp.2159 - 2167
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
Volume
12
Number
9
Start Page
2159
End Page
2167
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/82475
DOI
10.1109/TIFS.2017.2699944
ISSN
1556-6013
Abstract
As the brain is a unique biological system that reflects the subtle distinctions in the mental attributes of individual humans, electroencephalographic (EEG) signals have been regarded as one of the most promising and potent biometric signals for discriminating between individuals. However, existing EEG-based user-recognition methods present only a limited range of individual distinctions. In this paper, we propose a novel system of decoding cognitive EEG signals for individual identification with high accuracy. Specifically, we investigate the feasibility of our system, which can recognize an individual based on the discriminative patterns of source-level causal connectivity among brain regions, estimated from scalp-level EEG signals. The EEG signals were produced by a steady-state visual evoked potential-inducing grid-shaped top-down paradigm. This system can, in principle, use top-down cognitive features analyzed by individuals' differently characterized neurodynamic causal connectivities. In this paper, we achieved a maximal accuracy of 98.60% on average in 20 subjects, for whom we estimated causal connectivity in 16 brain regions using 5-s intervals of EEG signals. Our system shows promising initial results toward building a practical identification technology able to recognize individuals by means of brain neurodynamics.
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