• DocumentCode
    718217
  • Title

    A study on the stability of EEG signals for user authentication

  • Author

    Tien Pham ; Wanli Ma ; Dat Tran ; Duc Su Tran ; Dinh Phung

  • Author_Institution
    Fac. of Educ., Sci., Technol. & Mathimatics, Univ. of Canberra, Canberra, ACT, Australia
  • fYear
    2015
  • fDate
    22-24 April 2015
  • Firstpage
    122
  • Lastpage
    125
  • Abstract
    Electroencephalography (EEG) has been recently used as a new type of biometrics in user authentication with the advantages of being difficult to fake, impossible to observe or intercept, unique, and requiring alive person to record. However, understanding of the stability of brain responses to EEG-based authentication system while EEG is known to be sensitive to emotions is still a challenge that is addressed in this paper. Our experimental results and the related neurophysiological evidences show that some emotions should be considered to mitigate the impact of EEG signal changes on the EEG-based user authentication system in real-world applications.
  • Keywords
    bioelectric potentials; electroencephalography; medical signal processing; neurophysiology; EEG signal stability; EEG-based user authentication system; biometrics; brain; electroencephalography; neurophysiological evidences; Authentication; Biometrics (access control); Brain modeling; Electroencephalography; Feature extraction; Stress; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
  • Conference_Location
    Montpellier
  • Type

    conf

  • DOI
    10.1109/NER.2015.7146575
  • Filename
    7146575