Multimodal Assessment of Cognitive Workload Using Neural, Subjective and Behavioural Measures in Smart Factory Settings.

Zakeri, Zohreh; Arif, Arshia; Omurtag, Ahmet; Breedon, Philip; Khalid, Azfar

Zakeri, Zohreh; Arif, Arshia; Omurtag, Ahmet; Breedon, Philip; Khalid, Azfar.

Afiliación

Zakeri Z; Department of Engineering, School of Science and Technology, Nottingham Trent University, Clifton, Nottingham NG11 8NS, UK.
Arif A; Department of Engineering, School of Science and Technology, Nottingham Trent University, Clifton, Nottingham NG11 8NS, UK.
Omurtag A; Department of Engineering, School of Science and Technology, Nottingham Trent University, Clifton, Nottingham NG11 8NS, UK.
Breedon P; Department of Engineering, School of Science and Technology, Nottingham Trent University, Clifton, Nottingham NG11 8NS, UK.
Khalid A; Department of Engineering, School of Science and Technology, Nottingham Trent University, Clifton, Nottingham NG11 8NS, UK.

Sensors (Basel) ; 23(21)2023 Nov 02.

Article en En | MEDLINE | ID: mdl-37960625

Asunto(s)

Encéfalo; Carga de Trabajo; Humanos; Hemodinámica; Redes Neurales de la Computación; Cognición

Palabras clave

EEG; cognitive stress analysis; fNIRS; human robot collaboration (HRC); machine learning; neuroimaging

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: Encéfalo / Carga de Trabajo Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google