Assessment of cognitive workload using simultaneous EEG and fNIRS: A comparison of feature combinations-Reference-Cited by-同舟云学术

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Assessment of cognitive workload using simultaneous EEG and fNIRS: A comparison of feature combinations

Published:2024-11 Issue: Volume:119 Page:109619
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Ghasimi Armin,Shamekhi Sina

Publisher

Elsevier BV

Reference57 articles.

1. Embodied learning: introducing a taxonomy based on bodily engagement and task integration;Skulmowski;Cogn Res Princ Implic,2018

2. A cognition;Benjafield,2010

3. Putting the brain to work: neuroergonomics past, present, and future;Parasuraman;Hum Factors,2008

4. Evaluating the performance of the cognitive workload model with subjective endorsement in addition to EEG;Gogna;Med Biol Eng Comput,2024

5. Cognitive workload recognition using EEG signals and machine learning: a review;Zhou;IEEE Trans Cogn Dev Syst,2021

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