On the invariance of EEG-based signatures of individuality with application in biometric identification


One of the main challenges in EEG-based biometric systems is to extract reliable signatures of individuality from recorded EEG data that are also invariant against time. In this paper, we investigate the invariability of features that are extracted based on the spatial distribution of the spectral power of EEG data corresponding to 2-second eyes-closed… (More)
DOI: 10.1109/EMBC.2016.7591742


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