在工作场所对上半身姿势和身体负荷暴露进行无创评估的人机力学概念验证系统评估。

IF 1.6 4区 医学 Q3 ERGONOMICS
Simon M Harrison, Raymond C Z Cohen, Jacinta O'Hanlon, Todd Cece, Nicole Fisher, Peter H Thrall
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引用次数: 0

摘要

人体工程学是一个软硬件结合的系统,它使用摄像头、计算机视觉和生物力学建模来计算工作场所体力活动时的姿势和身体负荷。本研究评估了其非侵入性和自动识别工人采取的可能导致长期伤害的姿势的能力,并利用这些结果建议安全干预的重点。五名参与者被招募到一个有四个现成的安全摄像机的区域执行正常任务。参与者被随机分配到工作区域,并收集了60小时的录像。在每一秒的镜头中计算出五个与受伤可能性相关的指标。每个指标的极值被用来自动识别长期来看可能有害的身体姿势和工作活动。从过程中获得的见解被用于建议对工作区域和活动设计的更改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proof-of-concept system evaluation of Ergomechanic for non-invasive estimation of upper-body posture and body load exposure in the workplace.

Ergomechanic is a software-hardware system that uses cameras, computer vision and biomechanical modelling to calculate posture and body load during physical activity in the workplace. This study evaluated its ability to non-invasively and automatically identify postures adopted by workers that could lead to injury in the long term, and to use these results to suggest focuses for safety interventions. Five participants were recruited to perform normal duties in an area that was in view of four off-the-shelf security cameras. Participants were randomly assigned to the work area and 60 h of footage were collected. Five metrics relating to potential for injury were calculated for each second of footage. The extreme values of each metric were used to automatically identify body positions and work activities that could be hazardous in the long term. Insights from the process were used to recommend changes to the work area and activity design.

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来源期刊
CiteScore
4.80
自引率
8.30%
发文量
152
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