Research reading 068 / Actors / 2023
Detection of Pilot’s Mental Workload Using a Wireless EEG Headset in Airfield Traffic Pattern Tasks
Source authors: Chenglin Liu; Chenyang Zhang; Luohao Sun; Kun Liu; Haiyue Liu; Wenbing Zhu; Chaozhe Jiang
Originally published in Entropy · 2023
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Detection of Pilot’s Mental Workload Using a Wireless EEG Headset in Airfield Traffic Pattern Tasks
Chenglin Liu; Chenyang Zhang; Luohao Sun; Kun Liu; Haiyue Liu; Wenbing Zhu; Chaozhe Jiang
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Open original source ↗ · CC BY 4.0
Original-text attribution: Chenglin Liu; Chenyang Zhang; Luohao Sun; Kun Liu; Haiyue Liu; Wenbing Zhu; Chaozhe Jiang. Verified full-text source · CC BY 4.0. Passages retain their wording. Original research authorship is unchanged.
A2 Workload and adaptive learning
Why read this for flight training?
Tests wireless EEG workload classification during airfield-pattern tasks. Useful for discussing objective workload signals alongside self-report and flight performance.
How to interpret the evidence
Within-study accuracy does not guarantee generalization to new pilots or real-flight conditions.
Screening basis: Abstract screened. This annotation identifies relevance and limits; it does not replace appraisal of the original methods and findings.
Cite the original article
Chenglin Liu; Chenyang Zhang; Luohao Sun; Kun Liu; Haiyue Liu; Wenbing Zhu; Chaozhe Jiang (2023). Detection of Pilot’s Mental Workload Using a Wireless EEG Headset in Airfield Traffic Pattern Tasks. Entropy, 25(7), 1035. https://doi.org/10.3390/e25071035
Publication record
The original paper retains its published authors, venue and DOI. This journal’s reading guide was prepared with AI assistance under the editorial direction of Dr. Freedom Cheteni. The source authors are not credited as authors of this annotation. No new peer review or DOI is claimed for the guide.
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