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A Real-Time Approach to Classify EEG Signals for Identifying Prevarication

Author:
Kesavan, Nandhini, Raajan, Narasimhan Renga
Source:
National Academy science letters 2019 v.42 no.1 pp. 33-37
ISSN:
0250-541X
Subject:
brain, computers, electroencephalography, neural networks
Abstract:
Electroencephalography (EEG) is a recording method which captures brain action. In these frameworks, clients unequivocally control their brain action as opposed to utilizing motor movements to create signals that can be utilized to control computers or specialized gadgets. In this research, classifiers such as multilayer perceptron and bagging are utilized to quantify the exactness and accuracy of the acquired mind information. The percentage of recognition plays a major role as it indicates the person, the ratio he is in synch with viewing and thinking. EEG signal and P300 are used to measure the recordings done in the brain. On comparing the results of EEG and P300, it was found that recognition rate was good with the latter.
Agid:
6326055