IMR Press / JIN / Volume 17 / Issue 1 / DOI: 10.31083/JIN-170042
Open Access Research article
Application of a brain-computer interface for person authentication using EEG responses to photo stimuli
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1 Center of Collaboration and Innovation, Jiangxi University of Technology, Nanchang, Jiangxi Province, 330098, P.R. China
*Correspondence: (Jianfeng Hu)
J. Integr. Neurosci. 2018, 17(1), 53–60;
Submitted: 8 August 2017 | Accepted: 25 July 2017 | Published: 15 January 2018

In this paper, a personal authentication system that can effectively identify individuals by generating unique electroencephalogram signal features in response to self-face and non-self-face photos is presented. To achieve performance stability, a sequence of self-face photographs including first-occurrence position and non-first-occurrence position are taken into account in the serial occurrence of visual stimuli. Additionally, a Fisher linear classification method and event-related potential technique for feature analysis is adapted to yield remarkably better outcomes than those obtained by most existing methods. Results show that EEG-based authentication of individuals via brain-computer interface can be considered suitable as an approach to biometric authentication.

Biometric identifier
person authentication
brain-computer interface
photo stimuli
Fig. 1.
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