Activity Ratio to Measure Physical Demand of Cognitive Workload
Author:
Affiliation:
1. University of Calgary,Schulich School of Engineering,Department of Electrical and Software Engineering,Calgary,AB,Canada,T2N 1N4
Funder
Alberta Innovates
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945250.pdf?arnumber=9945250
Reference21 articles.
1. Cognitive workload recognition using eeg signals and machine learning: a review;zhou;IEEE Trans Cogn Dev Syst,2021
2. Deep Learning Architectures Used In Eeg-Based Estimation Of Cognitive workload: A Review
3. Discourse on the development of EEG diagnostics and biofeedback for attention-deficit/hyperactivity disorders
4. A Closed-Loop System for Examining Psychophysiological Measures for Adaptive Task Allocation
5. EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping Tasks
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