Enhancement of morlet mother wavelet in time–frequency domain in electroencephalogram (EEG) signals for driver fatigue classification
Driving is hazardous due to various factors, including driving attitudes, road type, and driving perceptual environment. These influences factors may cause a fatigue condition. Moreover, less driving experience and lack of alertness can also be contributed to dangerous accidents. Fatigued driving is...
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| 主要な著者: | , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
Springer
2023
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| 主題: | |
| オンライン･アクセス: | http://umpir.ump.edu.my/id/eprint/43650/1/Enhancement%20of%20Morlet%20Mother%20Wavelet%20in%20Time%E2%80%93Frequency%20Domain%20in%20Electroencephalogram%20%28EEG%29%20Signals%20for%20Driver%20Fatigue%20Classification.PDF http://umpir.ump.edu.my/id/eprint/43650/ https://doi.org/10.1007/978-981-19-8703-8_13 |
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http://umpir.ump.edu.my/id/eprint/43650/1/Enhancement%20of%20Morlet%20Mother%20Wavelet%20in%20Time%E2%80%93Frequency%20Domain%20in%20Electroencephalogram%20%28EEG%29%20Signals%20for%20Driver%20Fatigue%20Classification.PDFhttp://umpir.ump.edu.my/id/eprint/43650/
https://doi.org/10.1007/978-981-19-8703-8_13