Two novel parsimonious EEG representations proposed for biometric recognition.
Performance evaluated on EEG data taken in two distinct sessions from 30 subjects.
Analysis of the discriminability of distinct EEG sub-bands, with several classifiers.
LDA improves the performance if applied to either ETB or EB representations.
For recognition, ETB projections better than EB, EC resting conditions better than EO.