Subtractive fuzzy classifier based driver drowsiness levels classification using EEG
Proceeding of The 2nd International Conference on Communication and Signal Processing (ICCSP 2013) at Melmaruvathur, Tamilnadu, India on 3 April 2013 through 5 April 2013. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp
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IEEE Conference Publications
2014
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my.unimap-346342014-05-22T06:59:31Z Subtractive fuzzy classifier based driver drowsiness levels classification using EEG Murugappan, M., Dr. Wali, Mousa Kadhim R. Badlishah, Ahmad, Prof. Dr. Murugappan, Subbulakshmi murugappan@unimap.edu.my musawali@yahoo.com badli@unimap.edu.my subbulakshmi@unimap.edu.my Discrete wavelet transform EEG Fast Fourier Transform Fuzzy inference system Proceeding of The 2nd International Conference on Communication and Signal Processing (ICCSP 2013) at Melmaruvathur, Tamilnadu, India on 3 April 2013 through 5 April 2013. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp Driver drowsiness is one of the major causes for several road accidents over the world. In this study, Electroencephalogram (EEG) signals were acquired using 14 electrodes from 50 subjects. All the electrodes are placed on the driver scalp based on International 10/20 standard and Butterworth 4 th order filter was used to remove the noise and artifact. Four EEG frequency bands (delta, theta, alpha, and beta) were analyzed on this work and extracted using Discrete Wavelet Packet Transform (DWPT). Fast Fourier Transform (FFT) was used to extract two statistical features such as spectral centroid and power spectral density (PSD) from the above frequency bands. Subtractive fuzzy classifier was used to map the extracted features into four different driver drowsiness levels namely, awake, drowsy, high drowsy and sleep stage1. As a result of this study points out the best average accuracy achieved by subtractive fuzzy inference classifier is 84.41% based on power spectral density feature extracted by 'db4' wavelet function. 2014-05-22T06:59:31Z 2014-05-22T06:59:31Z 2013-04 Working Paper p. 159-164 978-1-4673-4865-2 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6577036 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34634 http://dx.doi.org/10.1109/iccsp.2013.6577036 en Proceeding of The 2nd International Conference on Communication and Signal Processing (ICCSP 2013); IEEE Conference Publications |
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English |
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Discrete wavelet transform EEG Fast Fourier Transform Fuzzy inference system |
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Discrete wavelet transform EEG Fast Fourier Transform Fuzzy inference system Murugappan, M., Dr. Wali, Mousa Kadhim R. Badlishah, Ahmad, Prof. Dr. Murugappan, Subbulakshmi Subtractive fuzzy classifier based driver drowsiness levels classification using EEG |
| description |
Proceeding of The 2nd International Conference on Communication and Signal Processing (ICCSP 2013) at Melmaruvathur, Tamilnadu, India on 3 April 2013 through 5 April 2013. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp |
| author2 |
murugappan@unimap.edu.my |
| author_facet |
murugappan@unimap.edu.my Murugappan, M., Dr. Wali, Mousa Kadhim R. Badlishah, Ahmad, Prof. Dr. Murugappan, Subbulakshmi |
| format |
Working Paper |
| author |
Murugappan, M., Dr. Wali, Mousa Kadhim R. Badlishah, Ahmad, Prof. Dr. Murugappan, Subbulakshmi |
| author_sort |
Murugappan, M., Dr. |
| title |
Subtractive fuzzy classifier based driver drowsiness levels classification using EEG |
| title_short |
Subtractive fuzzy classifier based driver drowsiness levels classification using EEG |
| title_full |
Subtractive fuzzy classifier based driver drowsiness levels classification using EEG |
| title_fullStr |
Subtractive fuzzy classifier based driver drowsiness levels classification using EEG |
| title_full_unstemmed |
Subtractive fuzzy classifier based driver drowsiness levels classification using EEG |
| title_sort |
subtractive fuzzy classifier based driver drowsiness levels classification using eeg |
| publisher |
IEEE Conference Publications |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/34634 |
| _version_ |
1643797550178762752 |