Drivers' Mental Engagement Analysis Using Multi-Sensor Fusion Approaches Based on Deep Convolutional Neural Networks.

Aminosharieh Najafi, Taraneh; Affanni, Antonio; Rinaldo, Roberto; Zontone, Pamela

Aminosharieh Najafi, Taraneh; Affanni, Antonio; Rinaldo, Roberto; Zontone, Pamela.

Afiliación

Aminosharieh Najafi T; Polytechnic Department of Engineering and Architecture, University of Udine, Via Delle Scienze 206, 33100 Udine, Italy.
Affanni A; Polytechnic Department of Engineering and Architecture, University of Udine, Via Delle Scienze 206, 33100 Udine, Italy.
Rinaldo R; Polytechnic Department of Engineering and Architecture, University of Udine, Via Delle Scienze 206, 33100 Udine, Italy.
Zontone P; Polytechnic Department of Engineering and Architecture, University of Udine, Via Delle Scienze 206, 33100 Udine, Italy.

Sensors (Basel) ; 23(17)2023 Aug 23.

Article en En | MEDLINE | ID: mdl-37687801

Asunto(s)

Artefactos; Cultura; Humanos; Electrocardiografía; Electroencefalografía; Redes Neurales de la Computación

Palabras clave

deep convolutional neural network; drivers' mental engagement; electrocardiogram; electrodermal activity; electroencephalogram; sensor fusion

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Artefactos / Cultura Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google