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Automated Detection of Driver Fatigue Based on AdaBoost Classifier with EEG Signals
Purpose: Driving fatigue has become one of the important causes of road accidents, there are many researches to analyze driver fatigue. EEG is becoming increasingly useful in the measuring fatigue state. Manual interpretation of EEG signals is impossible, so an effective method for automatic detecti...
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| I publikationen: | Front Comput Neurosci |
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| Huvudupphovsman: | |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Frontiers Media S.A.
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5540979/ https://ncbi.nlm.nih.gov/pubmed/28824409 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2017.00072 |
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