Improving EEG-Based Driver Distraction Classification Using Brain Connectivity Estimators

This paper discusses a novel approach to an EEG (electroencephalogram)-based driver distraction classification by using brain connectivity estimators as features. Ten healthy volunteers with more than one year of driving experience and an average age of 24.3 participated in a virtual reality environ...

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Detalles Bibliográficos
Autores principales: Perera, Dulan, Wang, Yu-Kai, Lin, Chin-Teng, Nguyen, Hung, Chai, Rifai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414352/
https://www.ncbi.nlm.nih.gov/pubmed/36015991
http://dx.doi.org/10.3390/s22166230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414352/
https://www.ncbi.nlm.nih.gov/pubmed/36015991
http://dx.doi.org/10.3390/s22166230

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