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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...
Autores principales: | Romine, William L., Schroeder, Noah L., Graft, Josephine, Yang, Fan, Sadeghi, Reza, Zabihimayvan, Mahdieh, Kadariya, Dipesh, Banerjee, Tanvi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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