Abstract
Electroencephalography (EEG)brain signals have been utilized in various pattern recognition applications such as biometrics and emotion detection. EEG signals provide the relevant information of individual differences which can be potentially used as salient features for user recognition. The majority of previous studies on the brain signal biometric had been conducted with subjects in resting states with eyes closed or opened. In this paper, the brain signal biometric distinctiveness is evaluated under subjects 'active states, i. e.,different emotional states. The EEG signal sample was obtained from 32 channels. Each sample differs depending on subjects 'emotional states. This research is conducted to evaluate which channel is most effective for the purpose of biometric verification. We observe that channels with high biometric distinctiveness in the active state differ from those in resting state and provide those respects mappings.