Random subspace K-NN based ensemble classifier for driver fatigue detection utilizing selected EEG channels
Nowadays, many studies have been conducted to assess driver fatigue, as it has become one of the leading causes of traffic crashes. However, with the use of advanced features and machine learning approaches, EEG signals may be processed in an effective way, allowing fatigue to be detected promptly a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Information and Engineering Technology Association
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33117/1/Random%20subspace%20K-NN%20based%20ensemble%20classifier%20for%20driver%20fatigue%20detection%20utilizing%20selected%20EEG%20channels.pdf |