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Automatic Classification of Subjective Time Perception Using Multi-modal Physiological Data of Air Traffic Controllers
In this study, we present a method to automatically assess the subjective time perception of air traffic controllers, a group often faced with demanding conditions, using their physiological data and eleven state-of-the-art machine learning classifiers.
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