Systems, Man & Cybernetics - October 2017 - 6
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EEG EVOLUTIONS
Toward
EEG-Based
Biometric
Systems
The Great Potential of
Brain-Wave-Based Biometrics
by Kavitha P. Thomas and A.P. Vinod
R
ecognition of individuals based on their
unique physiological or behavioral characteristics, called biometric identification or
authentication, has received much attention
by researchers during the last decade. Among
the existing biometric traits, brain signaling has emerged as
a powerful candidate due to its highly unique nature, which
makes it impossible to steal or mimic. Electroencephalography (EEG), a popular, noninvasive method used for recording brain activity, has recently been identified as an efficient
Digital Object Identifier 10.1109/MSMC.2017.2703651
Date of publication: 18 October 2017
6
IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE O c to b e r 2017
technique to develop biometric systems due to its simplicity,
portability, and relatively low cost in comparison to other
noninvasive brain signal acquisition models. EEG signals
are captured during a relaxed rest state from an individual
whose eyes can be closed or open and who can also experience active response states. These signals have been reported to be robust carriers of unique personality traits.
Personal Recognition
Biometrics is a pattern-recognition system used for authenticating or identifying a person via his or her own personal
physiological or behavioral characteristics [1]. Such characteristics can include fingerprints, an iris, a face, and brain
2333-942X/17©2017IEEE
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Table of Contents for the Digital Edition of Systems, Man & Cybernetics - October 2017
Systems, Man & Cybernetics - October 2017 - Cover1
Systems, Man & Cybernetics - October 2017 - Cover2
Systems, Man & Cybernetics - October 2017 - 1
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Systems, Man & Cybernetics - October 2017 - Cover3
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