Detecting Unfavorable Driving States in Electroencephalography Based on a PCA Sample Entropy Feature and Multiple Classification Algorithms

Unfavorable driving states can cause a large number of vehicle crashes and are significant factors in leading to traffic accidents. Hence, the aim of this research is to design a robust system to detect unfavorable driving states based on sample entropy feature analysis and multiple classification a...

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Detalles Bibliográficos
Autores principales: Zhang, Tao, Wang, Hong, Chen, Jichi, He, Enqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711805/
https://www.ncbi.nlm.nih.gov/pubmed/33287016
http://dx.doi.org/10.3390/e22111248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711805/
https://www.ncbi.nlm.nih.gov/pubmed/33287016
http://dx.doi.org/10.3390/e22111248

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