Using Machine Learning to Train a Wearable Device for Measuring Students’ Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use

Automated tracking of physical fitness has sparked a health revolution by allowing individuals to track their own physical activity and health in real time. This concept is beginning to be applied to tracking of cognitive load. It is well known that activity in the brain can be measured through chan...

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Detalles Bibliográficos
Autores principales: Romine, William L., Schroeder, Noah L., Graft, Josephine, Yang, Fan, Sadeghi, Reza, Zabihimayvan, Mahdieh, Kadariya, Dipesh, Banerjee, Tanvi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506959/
https://www.ncbi.nlm.nih.gov/pubmed/32867055
http://dx.doi.org/10.3390/s20174833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506959/
https://www.ncbi.nlm.nih.gov/pubmed/32867055
http://dx.doi.org/10.3390/s20174833

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