EEG Biometrics: On the Use of Occipital Cortex Based Features from Visual Evoked Potentials
Authors
Department of Computer and Information Science, Norwegian University of Science and Technology
Department of Psychology, Norwegian University of Science and Technology
Department of Psychology, Norwegian University of Science and Technology
Department of Psychology, Norwegian University of Science and Technology
Department of Computer and Information Science, Norwegian University of Science and Technology
Keywords:
biometrics, eeg, datasets, performance evaluation
Abstract
The potential of using Electro-Encephalo-Gram (EEG) data as a biometric identifier is studied. This is the first study that assesses looming stimuli for the creation of biometrically useful Visual Evoked Potentials (VEP), i.e. EEG responses due to visual stimuli. A novel method for the detection of VEP responses with minimal expert interaction is introduced. The EEG data, segmented based on the VEP, are used to create a reliable feature vector. In contrast to previous studies, we provide a publicly available evaluation dataset based on infants which is therefore not biased due to unhealthy individuals. Only data from the occipital cortex are used (i.e. about 3 of the many possible electrode positions in the scalp), making the potential EEG biometric capture devices relatively simpler.
