DocumentCode
564819
Title
A survey of EEG based user authentication schemes
Author
Khalifa, W. ; Salem, A. ; Roushdy, M. ; Revett, K.
Author_Institution
Comput. Sci. Dept., Ain Shams Univ., Cairo, Egypt
fYear
2012
fDate
14-16 May 2012
Abstract
Electroencephalography (EEG) is the recording of electrical activity occurring in the brain, which is recorded from the scalp through placement of voltage sensitive electrodes. It has been repeatedly demonstrated that the brain emits voltage fluctuations on a continuous basis. These fluctuations are a reflection of the on-going brain dynamics, which present as a series of fluctuations that have characteristic waveforms and amplitude patterns, depending on the cognitive state of the subject. A number of published reports have indicated that there is enough depth in the EEG recording, rendering it suitable as a tool for person authentication. This idea has a solid underpinning in that recent evidence suggests much of the on-going EEG recordable activity within brains has a genetic component. This study presents the common steps for developing a human identification systems based on EEG signals. It will also present some of the important techniques used.
Keywords
biomedical electrodes; biometrics (access control); cognition; electroencephalography; genetics; medical signal processing; EEG based user authentication schemes; EEG recordable activity; amplitude patterns; brain dynamics; brain electrical activity recording; cognitive state; electroencephalography; genetics; human identification systems; person authentication; voltage fluctuations; voltage sensitive electrode placement; Authentication; Biometrics; Educational institutions; Electrodes; Electroencephalography; Neural networks; Neurons; EEG; artificial intelligence; behavioral biometrics; cognitive biometrics; signal processing; user identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics and Systems (INFOS), 2012 8th International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4673-0828-1
Type
conf
Filename
6236530
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