Accurately recognizing driver emotions through using CNN fused features and NasNet-large model

This research endeavours to enhance road safety by developing an accurate driver emotion recognition system. A novel model is introduced, incorporating transfer learning principles alongside NasNet-Large CNN and Faster R-CNN, specifically designed for Driver Facial Expression (DFE) analysis. The pri...

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Detalles Bibliográficos

Autores principales:	Khalid Zaman, Rafiullah Khan, Gan Zengkang, Sajjad Ullah Khan, Farman Ali, Tariq Hussain
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2026-01-01
Colección:	Alexandria Engineering Journal
Materias:	Driver facial expression recognition Drivers emotion CNN. Driver assistance systems Facial expressions
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S1110016825011822
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