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An Integrated Approach to Capture Construction Workers' Response towards Safety Alarms using Wearable Sensors and Virtual Reality

机译:使用可穿戴传感器和虚拟现实捕捉建筑工人对安全报警响应的综合方法

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Despite the continuous efforts from federal and state agencies to improve safety at traffic work zones, incidents continue to occur, resulting in 675 fatalities in the U.S. during the last decade. Current safety measures at work zones, such as visual and audible alarms are ineffective due to the lack of calibration studies to evaluate the attention span of workers towards alarms, given variances in the alarm modality, frequency and duration. This study proposes an integrated approach combining virtual reality (VR) and wearable sensors to capture data regarding workers' behaviors towards safety alarms when workers are exposed to simulated dangerous situations in VR. This dataset is needed to understand the relationships between workers' responses (i.e., react or dismiss) and the characteristics of the received alarms (i.e., modality, frequency, and duration). The proposed approach was implemented on an urban intersection from a real-world work zone in New York City for user studies.
机译:尽管联邦和州机构的不断努力,但在交通工程区的安全性方面,仍在继续发生事件,在过去十年中,美国的死亡率为675例。 由于缺乏校准研究来评估工人的注意力跨度,在警报模拟,频率和持续时间内,视觉和可听报警等工作区的安全措施无效。 本研究提出了一种集成方法,将虚拟现实(VR)和可穿戴传感器组合以捕获有关工作人员行为的数据,当工人暴露于VR中的模拟危险情况时,朝向安全报警的数据。 需要此数据集以了解工人响应之间的关系(即,反应或解雇)以及所接收的警报的特征(即,模态,频率和持续时间)。 该拟议的方法是在纽约市的一个现实世界工作区的城市交叉路口进行用户学习。

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