• DocumentCode
    2838288
  • Title

    Assessment of permanence of non-volitional EEG brainwaves as a biometric

  • Author

    Ruiz Blondet, Maria V. ; Laszlo, Sarah ; Zhanpeng Jin

  • Author_Institution
    Dept. of Psychol., Binghamton Univ., Binghamton, NY, USA
  • fYear
    2015
  • fDate
    23-25 March 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Electrical brain activities can be measured noninvasively using electroencephalogram (EEG). This electric signal changes for different tasks, and also changes from subject to subject. Previous studies have shown that the EEG signal is unique enough to be used as a biometric characteristic. However, it is well known that the brain activity can change according to our emotion or stress status, among many other factors. The stability of EEG signals as a biometric has not yet been well explored and understood. In this work, we explicitly investigated and assessed the permanence of the non-volitional EEG brainwaves over the course of time. Specifically, we analyzed how much the EEG signal changes over a period of six months, since any drastic change would make it unusable as an authentication method. The results are very encouraging, yielding high accuracy throughout the six-month period.
  • Keywords
    biometrics (access control); electroencephalography; medical signal processing; EEG signals; authentication method; biometric characteristic; brain activity; electric signal; electrical brain activities; electroencephalogram; nonvolitional EEG brainwaves; permanence assessment; Accuracy; Brain; DNA; Electrodes; Electroencephalography; Stability analysis; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Identity, Security and Behavior Analysis (ISBA), 2015 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-1974-1
  • Type

    conf

  • DOI
    10.1109/ISBA.2015.7126359
  • Filename
    7126359