Adversarial Deep Learning in EEG Biometrics

27 Mar 2019Ozan OzdenizciYe WangToshiaki Koike-AkinoDeniz Erdogmus

Deep learning methods for person identification based on electroencephalographic (EEG) brain activity encounters the problem of exploiting the temporally correlated structures or recording session specific variability within EEG. Furthermore, recent methods have mostly trained and evaluated based on single session EEG data... (read more)

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