Research on Recognition Method of Driving Fatigue State Based on Sample Entropy and Kernel Principal Component Analysis

In view of the nonlinear characteristics of electroencephalography (EEG) signals collected in the driving fatigue state recognition research and the issue that the recognition accuracy of the driving fatigue state recognition method based on EEG is still unsatisfactory, this paper proposes a driving...

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Detalles Bibliográficos
Autores principales: Ye, Beige, Qiu, Taorong, Bai, Xiaoming, Liu, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513215/
https://www.ncbi.nlm.nih.gov/pubmed/33265790
http://dx.doi.org/10.3390/e20090701

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513215/
https://www.ncbi.nlm.nih.gov/pubmed/33265790
http://dx.doi.org/10.3390/e20090701

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