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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

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