TY - GEN
T1 - Assessment of permanence of non-volitional EEG brainwaves as a biometric
AU - Ruiz Blondet, Maria V.
AU - Laszlo, Sarah
AU - Jin, Zhanpeng
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/16
Y1 - 2015/6/16
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84942531982
U2 - 10.1109/ISBA.2015.7126359
DO - 10.1109/ISBA.2015.7126359
M3 - Conference contribution
AN - SCOPUS:84942531982
T3 - 2015 IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2015
BT - 2015 IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2015
Y2 - 23 March 2015 through 25 March 2015
ER -