EEG Biometrics: On the Use of Occipital Cortex Based Features from Visual Evoked Potentials

  • Igor Barros Barbosa Department of Computer and Information Science, Norwegian University of Science and Technology
  • Kenneth Vilhelmsen Department of Psychology, Norwegian University of Science and Technology
  • Audrey van der Meer Department of Psychology, Norwegian University of Science and Technology
  • Ruud van der Weel Department of Psychology, Norwegian University of Science and Technology
  • Theoharis Theoharis 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.
Published
2015-10-29
Section
Artikler