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Page 1
Toward Mental Effort Measurement Using Electrodermal Activity Features.
Sensors (Basel). 2022 Sep 28;22(19):7363. doi: 10.3390/s22197363.
Sensors (Basel). 2022.
PMID: 36236461
Free PMC article.
A Preliminary Study of the Efficacy of Using a Wrist-Worn Multiparameter Sensor for the Prediction of Cognitive Flow States in University-Level Students.
Graft J, Romine W, Watts B, Schroeder N, Jawad T, Banerjee T.
Graft J, et al.
Sensors (Basel). 2023 Apr 13;23(8):3957. doi: 10.3390/s23083957.
Sensors (Basel). 2023.
PMID: 37112298
Free PMC article.
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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.
Romine WL, Schroeder NL, Graft J, Yang F, Sadeghi R, Zabihimayvan M, Kadariya D, Banerjee T.
Romine WL, et al. Among authors: graft j.
Sensors (Basel). 2020 Aug 27;20(17):4833. doi: 10.3390/s20174833.
Sensors (Basel). 2020.
PMID: 32867055
Free PMC article.
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