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22 May 2014 User authentication systems based on brain finger-prints
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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.
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Soo-Young Lee and Eun-Soo Jung "User authentication systems based on brain finger-prints", Proc. SPIE 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII, 91180M (22 May 2014); https://doi.org/10.1117/12.2053494
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