Artificial Intelligence based Modelling of Biometric User Authentication System using EEG Signals

Conference: Recent Trends in Information Processing, Computing, Electrical and Electronics
Author(s): Bhagyashri Bhiogade, A.A Khurshid Year: 2017
Grenze ID: 02.IPCEE.2017.1.502_1 Page: 417-423

Abstract

Electroencephalography (EEG) is most commonly referred as brain waves. In brain computer and brain machine\ninterfaces brain waves are used where authentication is the need of today’s time. Pin, Password technique, retina, heart-rate,\nfingerprints etc. are used as biometrics to provide authentication. By using the uniqueness of brain waves of different persons\na very integral and effective biometric authentication can be provided. This work describes the application of recording the\nbrain wave and providing two level biometric user authentication. A system is modeled and implemented which allows user\nto set a predefined pattern of movement which is then used as brain wave pattern to get the access. The first level of\nauthentication is pin and password with second level authentication as the brain waves. Identification of different subjects is\ndone by minimal neural network classifier with minimum sensor inputs and the classification efficiency is found to be 93% to\n100%.

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IPCEE - 2017