Designing an Embedded Feature Selection Algorithm for a Drowsiness Detector Model Based on Electroencephalogram Data

Driver fatigue reduces the safety of traditional driving and limits the widespread adoption of self-driving cars; hence, the monitoring and early detection of drivers’ drowsiness plays a key role in driving automation. When representing the drowsiness indicators as large feature vectors, fitting a m...

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Detalles Bibliográficos
Autores principales: Bencsik, Blanka, Reményi, István, Szemenyei, Márton, Botzheim, János
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967282/
https://www.ncbi.nlm.nih.gov/pubmed/36850472
http://dx.doi.org/10.3390/s23041874

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967282/
https://www.ncbi.nlm.nih.gov/pubmed/36850472
http://dx.doi.org/10.3390/s23041874

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