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Classification of driver drowsiness level using wireless EEG

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Main Authors: Mousa Kadhim, Wali, Murugappan, Muthusamy, Dr., R. Badlishah, Ahmad, Prof. Dr.
Other Authors: musawali@yahoo.com
Format: Article
Language:English
Published: Przegląd Elektrotechniczny 2014
Subjects:
Discrete Wavelet Transform
EEG
Fast Fourier Transform
Fuzzy inference system
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/35668
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spelling my.unimap-356682014-06-18T04:25:56Z Classification of driver drowsiness level using wireless EEG Mousa Kadhim, Wali Murugappan, Muthusamy, Dr. R. Badlishah, Ahmad, Prof. Dr. musawali@yahoo.com murugappan@unimap.edu.my badli@unimap.edu.my Discrete Wavelet Transform EEG Fast Fourier Transform Fuzzy inference system Link to publisher's homepage at http://pe.org.pl/ In this work, wireless Electroencephalogram (EEG) signals are used to classify the driver drowsiness levels (neutral, drowsy, high drowsy and sleep stage1) based on Discrete Wavelet Packet Transform (DWPT). Two statistical features (spectral centroid, and power spectral density) were extracted from four EEG frequency bands (delta, theta, alpha, and beta) using Fast Fourier Transform (FFT). These features are used to classify the driver drowsiness level using three classifiers namely, subtractive fuzzy clustering, probabilistic neural network, and K nearest neighbour. Results of this study indicates that the best average accuracy of 84.41% is achieved using subtractive fuzzy classifier based on power spectral density feature extracted by db4 wavelet function. 2014-06-18T04:25:56Z 2014-06-18T04:25:56Z 2013 Article Przeglad Elektrotechniczny, vol. 89(6), 2013, pages 113-117 0033-2097 http://pe.org.pl/issue.php?lang=0&num=06/2013 http://dspace.unimap.edu.my:80/dspace/handle/123456789/35668 en Przegląd Elektrotechniczny
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Discrete Wavelet Transform
EEG
Fast Fourier Transform
Fuzzy inference system
spellingShingle Discrete Wavelet Transform
EEG
Fast Fourier Transform
Fuzzy inference system
Mousa Kadhim, Wali
Murugappan, Muthusamy, Dr.
R. Badlishah, Ahmad, Prof. Dr.
Classification of driver drowsiness level using wireless EEG
description Link to publisher's homepage at http://pe.org.pl/
author2 musawali@yahoo.com
author_facet musawali@yahoo.com
Mousa Kadhim, Wali
Murugappan, Muthusamy, Dr.
R. Badlishah, Ahmad, Prof. Dr.
format Article
author Mousa Kadhim, Wali
Murugappan, Muthusamy, Dr.
R. Badlishah, Ahmad, Prof. Dr.
author_sort Mousa Kadhim, Wali
title Classification of driver drowsiness level using wireless EEG
title_short Classification of driver drowsiness level using wireless EEG
title_full Classification of driver drowsiness level using wireless EEG
title_fullStr Classification of driver drowsiness level using wireless EEG
title_full_unstemmed Classification of driver drowsiness level using wireless EEG
title_sort classification of driver drowsiness level using wireless eeg
publisher Przegląd Elektrotechniczny
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/35668
_version_ 1643797869287702528
score 13.214268

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