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EEG-Based Identity Authentication Framework Using Face Rapid Serial Visual Presentation with Optimized Channels

1
Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610000, China
2
China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450001, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(1), 6; https://doi.org/10.3390/s19010006
Received: 30 October 2018 / Revised: 3 December 2018 / Accepted: 10 December 2018 / Published: 20 December 2018
(This article belongs to the Special Issue EEG Electrodes)
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PDF [1975 KB, uploaded 20 December 2018]
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Abstract

Electroencephalogram (EEG) signals, which originate from neurons in the brain, have drawn considerable interests in identity authentication. In this paper, a face image-based rapid serial visual presentation (RSVP) paradigm for identity authentication is proposed. This paradigm combines two kinds of biometric trait, face and EEG, together to evoke more specific and stable traits for authentication. The event-related potential (ERP) components induced by self-face and non-self-face (including familiar and not familiar) are investigated, and significant differences are found among different situations. On the basis of this, an authentication method based on Hierarchical Discriminant Component Analysis (HDCA) and Genetic Algorithm (GA) is proposed to build subject-specific model with optimized fewer channels. The accuracy and stability over time are evaluated to demonstrate the effectiveness and robustness of our method. The averaged authentication accuracy of 94.26% within 6 s can be achieved by our proposed method. For a 30-day averaged time interval, our method can still reach the averaged accuracy of 88.88%. Experimental results show that our proposed framework for EEG-based identity authentication is effective, robust, and stable over time. View Full-Text
Keywords: identity authentication; EEG; face image; genetic algorithm; rapid serial visual presentation identity authentication; EEG; face image; genetic algorithm; rapid serial visual presentation
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Zeng, Y.; Wu, Q.; Yang, K.; Tong, L.; Yan, B.; Shu, J.; Yao, D. EEG-Based Identity Authentication Framework Using Face Rapid Serial Visual Presentation with Optimized Channels. Sensors 2019, 19, 6.

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