r-Principal Subspace for Driver Cognitive State Classification
Using EEG signals, a novel technique for driver cognitive state assessment is presented, analyzed and experimentally verified. The proposed technique depends on the singular value decomposition (SVD) in finding the distributed energy of the EEG data matrix A in the direction of the r-principal subsp...
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2015
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| オンライン･アクセス: | http://eprints.utp.edu.my/11829/1/r-principal%20subspace%20for%20driver%20cognitive%20state%20classification.pdf http://eprints.utp.edu.my/11829/ |
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my.utp.eprints.118292016-10-07T01:42:41Z r-Principal Subspace for Driver Cognitive State Classification Almahasneh, Hossam Kamel , Nidal Nicolas, Walter Malik, Aamir Saeed Q Science (General) T Technology (General) Using EEG signals, a novel technique for driver cognitive state assessment is presented, analyzed and experimentally verified. The proposed technique depends on the singular value decomposition (SVD) in finding the distributed energy of the EEG data matrix A in the direction of the r-principal subspace. This distribution is unique and sensitive to the changes in the cognitive state of the driver due to external stimuli, so it is used as a set of features for classification. The proposed technique is tested with 42 subjects using 128 EEG channels and the results show significant improvements in terms of accuracy, specificity, sensitivity, and false detection in comparison to other recently proposed techniques. 2015-08 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/11829/1/r-principal%20subspace%20for%20driver%20cognitive%20state%20classification.pdf Almahasneh, Hossam and Kamel , Nidal and Nicolas, Walter and Malik, Aamir Saeed (2015) r-Principal Subspace for Driver Cognitive State Classification. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). http://eprints.utp.edu.my/11829/ |
| institution |
Universiti Teknologi Petronas |
| building |
UTP Resource Centre |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Institutional Repository |
| url_provider |
http://eprints.utp.edu.my/ |
| topic |
Q Science (General) T Technology (General) |
| spellingShingle |
Q Science (General) T Technology (General) Almahasneh, Hossam Kamel , Nidal Nicolas, Walter Malik, Aamir Saeed r-Principal Subspace for Driver Cognitive State Classification |
| description |
Using EEG signals, a novel technique for driver cognitive state assessment is presented, analyzed and experimentally verified. The proposed technique depends on the singular value decomposition (SVD) in finding the distributed energy of the EEG data matrix A in the direction of the r-principal subspace. This distribution is unique and sensitive to the changes in the cognitive state of the driver due to external stimuli, so it is used as a set of features for classification. The proposed technique is tested with 42 subjects using 128 EEG channels and the results show significant improvements in terms of accuracy, specificity, sensitivity, and false detection in comparison to other recently proposed techniques. |
| format |
Conference or Workshop Item |
| author |
Almahasneh, Hossam Kamel , Nidal Nicolas, Walter Malik, Aamir Saeed |
| author_facet |
Almahasneh, Hossam Kamel , Nidal Nicolas, Walter Malik, Aamir Saeed |
| author_sort |
Almahasneh, Hossam |
| title |
r-Principal Subspace for Driver Cognitive State Classification |
| title_short |
r-Principal Subspace for Driver Cognitive State Classification |
| title_full |
r-Principal Subspace for Driver Cognitive State Classification |
| title_fullStr |
r-Principal Subspace for Driver Cognitive State Classification |
| title_full_unstemmed |
r-Principal Subspace for Driver Cognitive State Classification |
| title_sort |
r-principal subspace for driver cognitive state classification |
| publishDate |
2015 |
| url |
http://eprints.utp.edu.my/11829/1/r-principal%20subspace%20for%20driver%20cognitive%20state%20classification.pdf http://eprints.utp.edu.my/11829/ |
| _version_ |
1738655984055746560 |
| score |
13.251813 |