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What is Modeling Visual Fatigue in Remote Tower Air Traffic Controllers about?

This study investigates visual fatigue in remote tower air traffic controllers using a multimodal physiological data approach. A recognition model was developed based on eye-tracking, EEG, ECG, and EDA data collected during a simulated task, achieving high predictive accuracy. The findings highlight the physiological patterns of visual fatigue and provide insights for improving human factor monitoring in remote tower environments.

Author

juanan.sc.90

Language

EN