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Real Time Driver's Drowsiness Detection by Processing the EEG Signals Stimulated with External Flickering Light.

Authors
  • Hashemi, Amjad
  • Saba, Valiallah
  • Resalat, Seyed Navid
Type
Published Article
Journal
Basic and clinical neuroscience
Publication Date
Jan 01, 2014
Volume
5
Issue
1
Pages
22–27
Identifiers
PMID: 25436080
Source
Medline
License
Unknown

Abstract

The objective of this study is development of driver's sleepiness using Visually Evoked Potentials (VEP). VEP computed from EEG signals from the visual cortex. We use the Steady State VEPs (SSVEPs) that are one of the most important EEG signals used in human computer interface systems. SSVEP is a response to visual stimuli presented. We present a classification method to discriminate between closed eyes and opened eyes. Fourier transforms and power spectrum density features extracted from signals and Multilayer perceptron and radial basis function neural networks used for classification. The experimental results show an accuracy of 97% for test data.

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