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A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that is often approached using neurophysiological signals as the basis for building a reliable system. In this context, electroencephalogram (EEG) signals are the most important source of data to achieve succe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198610/ https://www.ncbi.nlm.nih.gov/pubmed/34070732 http://dx.doi.org/10.3390/s21113786 |