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
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