Individual Identification Using Cognitive Electroencephalographic Neurodynamics

• Published in: IEEE transactions on information forensics and security Vol. 12; no. 9; pp. 2159 - 2167
• Main Authors: Min, Byoung-Kyong, Suk, Heung-Il, Ahn, Min-Hee, Lee, Min-Ho, Lee, Seong-Whan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Brain; Causality; cognitive system; Decoding; Electrodes; Electroencephalography; Electrooculography; Estimation; Feasibility; Feature extraction; identification; Neurodynamics; Recognition; support vector machine; top-down processing; Visual signals; Visualization

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...