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用于安全培训的虚拟现实中人体反应评估的生理和姿势参数实时监测

Real-Time Monitoring of Physiological and Postural Parameters to Evaluate Human Reactions in Virtual Reality for Safety Training.

作者信息

Francia Carlalberto, Donno Lucia, Covarrubias Rodriguez Mario, Cascini Gaetano, Tarabini Marco, Galli Manuela

机构信息

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy.

Department of Mechanical Engineering, Politecnico di Milano, Via Privata Giuseppe La Masa 1, 20156 Milan, Italy.

出版信息

Sensors (Basel). 2025 Jul 14;25(14):4400. doi: 10.3390/s25144400.

Abstract

In recent years, the application of ergonomics to workplace safety monitoring has gained increasing interest from companies and public institutions, allowing for the evaluation of the potential impact that dangerous situations may have on workers during their routine activities. This study presents a method for real-time monitoring of human physiological and motor responses to simulated workplace hazards during virtual reality safety training. The setup allows for precise measurements of both physiological and postural parameters during simulated scenarios. Moreover, a representative case study involving the sudden arrival of a forklift in a warehouse is presented. Five healthy participants were exposed to this scenario, with changes in heart rate variability and trunk posture being captured. The results demonstrate the effectiveness of sensor-based monitoring in detecting stress responses and postural adaptations to hazardous stimuli. This approach provides a basis for understanding human responses in simulated hazardous environments and may help to optimize safety training aimed at increasing workers' risk perception and improving overall workplace safety. Although based on a small sample, the findings provide preliminary insights into the feasibility of sensor-based monitoring during VR safety training.

摘要

近年来,人体工程学在工作场所安全监测中的应用越来越受到公司和公共机构的关注,这使得人们能够评估危险情况在日常活动中可能对工人产生的潜在影响。本研究提出了一种在虚拟现实安全培训期间实时监测人体对模拟工作场所危险的生理和运动反应的方法。该设置允许在模拟场景中精确测量生理和姿势参数。此外,还介绍了一个涉及叉车突然驶入仓库的典型案例研究。五名健康参与者接触了该场景,并记录了心率变异性和躯干姿势的变化。结果表明,基于传感器的监测在检测应激反应和对危险刺激的姿势适应方面是有效的。这种方法为理解模拟危险环境中的人体反应提供了基础,并可能有助于优化旨在提高工人风险感知和改善整体工作场所安全的安全培训。尽管基于小样本,但这些发现为虚拟现实安全培训期间基于传感器的监测的可行性提供了初步见解。

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