Application of a brain-computer interface for person authentication using EEG responses to photo stimuli

• Main Author: Zhendong Mu, Jinhai Yin, Jianfeng Hu
• Format: Article
• Language: English
• Published: IMR (Innovative Medical Research) Press Limited 2018-02-01
• Series: Journal of Integrative Neuroscience
• Subjects: |biometric identifier|person authentication|brain-computer interface|electroencephalography|photo stimuli
• Online Access: https://jin.imrpress.com/fileup/1757-448X/PDF/1546079362674-1486370668.pdf

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.