ArticleSensors (Basel, Switzerland)2026
Wearable Sensor Fusion for Psychophysiological Arousal Recognition in Air Traffic Control: A Fuzzy MCDM Approach.
Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Recognizing psychophysiological arousal and strain from wearable sensors extends affective computing beyond discrete-emotion classification. Vigilance decrement during air traffic control (ATC) shifts illustrates this: the psychomotor vigilance task (PVT) cannot be administered while a controller is working. We develop and evaluate a wearable, label-free Vigilance/Strain Risk Index (F-VRI) for ATC operators, fusing five physiological signals via entropy-weighted fuzzy TOPSIS. The index was assessed in two samples: 38 controllers measured pre/post shift (preliminary, pilot-level evidence) and 13 trainees pre/post across simulator sessions (confirmatory validation). Compared with PVT, the fused index detected the pre/post change more reliably at the group level (simulator:
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