EEG-based Automatic Detection of Drowsy State

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 324)

Abstract

Electrical signal generated by the brain represents not only the brain function but also the status of the whole body. This paper focuses on finding the relation between EEG signal and human drowsiness, for which we require efficient algorithms. In the drowsiness state, a decrease of vigilance is generally observed. Identification was done by giving the preprocessed signal to a trained ANN to identify correctly the sleep condition of the person under observation. Different back-propagation algorithms are used for the study and the best one chosen by using the MSE estimation. Then using this system, classification is done and the drowsy signal sample is identified from given input samples.

Keywords

EEG signal Central nervous system ERS IIR digital filters Feed-forward neural network 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.AJCEKanjirapallyIndia
  2. 2.VIT UniversityVelloreIndia

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