NDLI: A survey of EEG based user authentication schemes

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2012 8th International Conference on Informatics and Systems (INFOS)

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2010 The 7th International Conference on Informatics and Systems (INFOS)

A survey of EEG based user authentication schemes

Content Provider	IEEE Xplore Digital Library
Author	Khalifa, W. Salem, A. Roushdy, M. Revett, K.
Copyright Year	2012
Description	Author affiliation: Faculty of Informatics and Computer Science, The British University in Cairo, Cairo, Egypt (Revett, K.) \|\| Computer Science Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt (Khalifa, W.; Salem, A.; Roushdy, M.)
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.
File Size	2525258
File Format	PDF
ISBN	9781467308281
e-ISBN	9789774035067
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-14
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Cairo University
Subject Keyword	Biometrics Neurons EEG Educational institutions Electroencephalography Electrodes Neural networks Authentication Signal processing Behavioral biometrics Artificial intelligence User identification Cognitive biometrics
Content Type	Text
Resource Type	Article

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