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Using EEG features for Authentication network

In recent years, more focus has been paid to brain biometrics research with
electroencephalographic data (EEG). This study introduces a real time control
system of authentication and disabled electric wheel chair based on using
electroencephalography (EEG). The scientific community has recently made huge efforts to perceive the distinctive characteristics of brain signal patterns. As EEG brainwave, which represent human brain activities, are more private, sensitive, and hard to steal or copy, the signals show a lot of promise as a biometri method for user authentication that is much safer
Finally this dissertation has been accepted.

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