Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Development of a Biometric Authentication System Based on Electroencephalography

뇌파 기반 개인 인증 시스템 개발

  • Choi, Ga-Young (Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology) ;
  • Kim, Eun-Ji (Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology) ;
  • Kang, Ye-Na (Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology) ;
  • Park, Su-Bin (Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology) ;
  • Park, Su-Jin (Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology) ;
  • Choi, Soo-In (Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology) ;
  • Hwang, Han-Jeong (Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology)
  • 최가영 (금오공과대학교 메디컬IT융합공학과) ;
  • 김은지 (금오공과대학교 메디컬IT융합공학과) ;
  • 강예나 (금오공과대학교 메디컬IT융합공학과) ;
  • 박수빈 (금오공과대학교 메디컬IT융합공학과) ;
  • 박수진 (금오공과대학교 메디컬IT융합공학과) ;
  • 최수인 (금오공과대학교 메디컬IT융합공학과) ;
  • 황한정 (금오공과대학교 메디컬IT융합공학과)
  • Published : 2018.02.28
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Abstract

Traditional electroencephalography (EEG)-based authentication systems generally use external stimuli that require user attention and relatively long time for authentication. The aim of this study is to investigate the feasibility of biometric authentication based on EEG without using any external stimuli. Seventeen subjects took part in the experiment and their EEGs were measured while repetitively closing and opening their eyes. For identifying each subject, we calculated inter- and intra-subject cross-correlation using changes in alpha activity (8-13 Hz) during eyes closed as compared to eyes open. In order to optimize the number of recording electrodes, we calculated authentication accuracy by progressively reducing the number of electrodes used in the analysis. Significant increase in alpha activity was observed for all subjects during eyes closed, focusing on occipital areas, and spatial patterns of changed alpha activity were considerably different between the subjects. A mean authentication accuracy of 92.45% was obtained, which was retained over 75% when using only 8 electrodes placed around occipital areas. Our results could demonstrate the feasibility of the proposed novel authentication method based on resting state EEGs.

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References

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