Monitored Versus Non-Monitored Stimuli in Brain-Computer-Interface Methods for Classifying Workload States During Piloting Tasks
Author:
Affiliation:
1. Institute of Cognitive Science, Carleton University,Ottawa,Canada
2. Carleton University,Department of Psychology,Ottawa,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10253663/10253664/10254130.pdf?arnumber=10254130
Reference16 articles.
1. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
2. An EEG Brain–Computer Interface Approach for Classifying Vigilance States in Humans: A Gamma Band Focus Supports Low Misclassification Rates
3. Bayesian Cognitive Modeling
4. EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing
5. EEG/ERP as a Measure of Mental Workload in a Simple Piloting Task
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1. A Dual-Adversarial Model for Cross-Time and Cross-Subject Cognitive Workload Decoding;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024
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