"Using Machine Learning to Train a Wearable Device for Measuring Students' ..."

William L. Romine et al. (2020)

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DOI: 10.3390/S20174833

access: open

type: Journal Article

metadata version: 2020-12-25

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  - https://dblp.org/rec/journals/sensors/RomineSGYSZKB20
William L. Romine, Noah L. Schroeder, Josephine Graft, Fan Yang, Reza Sadeghi, Mahdieh Zabihimayvan, Dipesh Kadariya, Tanvi Banerjee:
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. Sensors 20(17): 4833 (2020)

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