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Proceedings Paper

User authentication systems based on brain finger-prints
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Paper Abstract

We propose to use EEG signals to make user authentication for requiring high security. EEG signals were measured while the subjects saw several images in sequences. Since subjects‘ EEG signals are different for known and unknown images, these EEG sequences may be used to identify each subject. Correlation analysis and classification results show the feasibility of user authentication from EEG signals.

Paper Details

Date Published: 22 May 2014
PDF: 6 pages
Proc. SPIE 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII, 91180M (22 May 2014); doi: 10.1117/12.2053494
Show Author Affiliations
Soo-Young Lee, KAIST (Korea, Republic of)
Eun-Soo Jung, KAIST (Korea, Republic of)


Published in SPIE Proceedings Vol. 9118:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII
Harold H. Szu; Liyi Dai, Editor(s)

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