Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection

This paper presents a novel feature selection method to design a non-invasive driver drowsiness detection system based on steering wheel data. The proposed feature selector can select the most related features to the drowsiness level to improve the classification accuracy. This method is based on th...

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Detalles Bibliográficos
Autores principales: Arefnezhad, Sadegh, Samiee, Sajjad, Eichberger, Arno, Nahvi, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412352/
https://www.ncbi.nlm.nih.gov/pubmed/30813386
http://dx.doi.org/10.3390/s19040943

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412352/
https://www.ncbi.nlm.nih.gov/pubmed/30813386
http://dx.doi.org/10.3390/s19040943

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