Severity-Weighted Hazard Coverage Gaps in Wearable Stress Detection for Mining and Construction: A Simulation-Based Quantification Framework
Big Data and Cognitive Computing · 2026
Abstract e pubblicazione originale
L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
Leggi nella fonte originale ↗Parole chiave
underground miningconstruction workersheart rate variabilityelectrodermal activitycross-dataset generalizationworker safety monitoringoccupational safetyEmotion and Mood RecognitionIndustrial and Mining SafetyHeart Rate Variability and Autonomic Control
Come citare questo studio
Phuong H. D. Nguyen, Mohammadreza Mehrabian, Lisa Rebenitsch, Rudrajit Mitra. (2026). Severity-Weighted Hazard Coverage Gaps in Wearable Stress Detection for Mining and Construction: A Simulation-Based Quantification Framework. Big Data and Cognitive Computing. DOI: 10.3390/bdcc10110361
Consulta la pubblicazione originale ↗