Ergonomic Risk Identification for Spacesuit Movements Using Factorial Analysis.

IISE transactions on occupational ergonomics and human factors Pub Date : 2021-07-01 Epub Date: 2021-10-04
Linh Q Vu, K Han Kim, Sudhakar L Rajulu
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Abstract

OCCUPATIONAL APPLICATIONSBiomechanical risk factors associated with spacesuit manual material handling tasks were evaluated using the singular value decomposition (SVD) technique. SVD analysis decomposed each lifting tasks into primitive motion patterns called eigenposture progression (EP) that contributed to the overall task. Biomechanical metrics, such as total joint displacement, were calculated for each EP. The first EP (a simultaneous knee, hip, and waist movement) had greater biomechanical demands than other EPs. Thus, tasks such as lifting from the floor were identified as "riskier" by having a greater composition of the first EP. The results of this work can be used to improve a task as well as spacesuit design by minimizing riskier movement patterns as shown in this case study. This methodology can be applied in civilian occupational settings to analyze open-ended tasks (e.g., complex product assembly and construction) for ergonomics assessments. Using this method, worker task strategies can be evaluated quantitatively, compared, and redesigned when necessary.

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用析因分析识别航天服运动的人体工程学风险。
应用奇异值分解(SVD)技术对航天服手工材料搬运任务相关的生物力学风险因素进行了评估。奇异值分解分析将每个举重任务分解为基本的运动模式,称为特征姿势进展(EP),这些运动模式对整个任务有贡献。计算每个EP的生物力学指标,如关节总位移。第一次EP(膝关节、髋关节和腰部同时运动)比其他EP有更大的生物力学要求。因此,像从地板上抬起重物这样的任务被认为是“更危险的”,因为它具有更大的第一个EP组成。这项工作的结果可以用来改善任务以及航天服的设计,通过最大限度地减少危险的运动模式,如本案例研究所示。这种方法可以应用于民用职业环境,以分析开放式任务(例如,复杂产品的装配和建造),以进行人体工程学评估。使用这种方法,工人任务策略可以定量评估,比较,并在必要时重新设计。
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