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Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model
Driver fatigue is increasingly a contributing factor for traffic accidents, so an effective method to automatically detect driver fatigue is urgently needed. In this study, in order to catch the main characteristics of the EEG signals, four types of entropies (based on the EEG signal of a single cha...
Tallennettuna:
| Julkaisussa: | Cogn Neurodyn |
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| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer Netherlands
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6048010/ https://ncbi.nlm.nih.gov/pubmed/30137879 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-018-9485-1 |
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