A real-time driver fatigue identification method based on GA-GRNN

It is of great practical and theoretical significance to identify driver fatigue state in real time and accurately and provide active safety warning in time. In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generaliz...

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Detalles Bibliográficos
Autores principales: Wang, Xiaoyuan, Chen, Longfei, Zhang, Yang, Shi, Huili, Wang, Gang, Wang, Quanzheng, Han, Junyan, Zhong, Fusheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632354/
https://www.ncbi.nlm.nih.gov/pubmed/36339171
http://dx.doi.org/10.3389/fpubh.2022.991350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632354/
https://www.ncbi.nlm.nih.gov/pubmed/36339171
http://dx.doi.org/10.3389/fpubh.2022.991350

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