On the influence of affect in EEG-based subject identification

IEEE Transactions on Affective Computing, pp. 1-1, 2018.

Cited by: 6|Bibtex|Views2|

Abstract:

Biometric signals have been extensively used for user identification and authentication due to their inherent characteristics that are unique to each person. The variation exhibited between the brain signals (EEG) of different people makes such signals especially suitable for biometric user identification. However, the characteristics of ...More

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