Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Korea.
Int J Environ Res Public Health. 2020 Feb 22;17(4):1422. doi: 10.3390/ijerph17041422.
A smart glasses-based wearable personnel proximity warning system (PWS) was developed for pedestrian safety in construction and mining sites. The smart glasses receive signals transmitted by Bluetooth beacons attached to heavy equipment or vehicles, with the proximity determined by the signal strength. A visual alert is displayed to the wearer when in close proximity. The media access control address of the Bluetooth beacon provides information on the approaching equipment or vehicle, which is displayed to the wearer so that they can respond appropriately. There was a detection distance of at least 10 m regardless of the direction the pedestrian was looking and the alert was successful in all 40 trials at ≥10 meters. The subjective workload was evaluated using the NASA task load index on ten subjects, either without a personal PWS, with a smartphone-based PWS, or with the smart glasses-based PWS. The mental, temporal, and physical stresses were lowest when using the smart glasses-based PWS. Smart glasses-based PWSs can improve work efficiency by freeing both hands of the pedestrians, and various functions can be supported through application development. Therefore, they are particularly useful for pedestrian safety in construction and mining sites.
一种基于智能眼镜的可穿戴式人员接近警告系统 (PWS) 被开发用于建筑工地和矿区的行人安全。智能眼镜接收附着在重型设备或车辆上的蓝牙信标发送的信号,通过信号强度确定接近程度。当接近时,向佩戴者显示视觉警报。蓝牙信标的媒体访问控制地址提供有关接近设备或车辆的信息,这些信息显示给佩戴者,以便他们做出适当的反应。无论行人的视线方向如何,检测距离至少为 10 米,在所有 40 次≥10 米的试验中,警报均成功发出。在 10 名受试者中,使用 NASA 任务负荷指数评估主观工作量,要么没有个人 PWS,要么使用基于智能手机的 PWS,要么使用基于智能眼镜的 PWS。使用基于智能眼镜的 PWS 时,心理、时间和身体压力最低。基于智能眼镜的 PWS 可以通过解放行人的双手来提高工作效率,并且可以通过应用程序开发来支持各种功能。因此,它们在建筑工地和矿区的行人安全方面特别有用。