The electroencephalography signals using artificial neural network for monitoring fatigue system

Abstract

This paper proposes the development of an algorithm used for monitoring fatigue of the soldiers while they perform their duty. Electroencephalography (EEG) signals are analyzed by an Artificial Neural Networks (ANN) technique and compared with other techniques. The experimental results show that the ANN provides more accurate results than Bayesnet, Support Vector Machines (SMO), and Naïve Bayes techniques. The result of the ANN technique provides the accuracy, recall, and precision values at 83.77, 0.838, and 0.838, respectively.