Conference Details

Abstract :

Signals coming out of human brain is considered as a new biometric. After acquisition, feature extraction and classification of signals are done. To achieve this, spatial data/sensor fusion is done. EEG features are classified using the neural network named as Elman neural network. 1600 raw EEG signals are collected using maximum 35 informative channels and maximum recognition rate achieved is 98%. EEG biometrics has got massive potential due to its sturdiness against any kind of scam.