作者: Yaar Harari , Avital Bechar , Raziel Riemer
DOI: 10.1016/J.APERGO.2019.102985
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摘要: Abstract This study investigated the biomechanical loads and kinematics of workers during multiple-task manual material handling (MMH) jobs, developed prediction models for moments acting on a worker's body their peak joint angles. An experiment was conducted in which 20 subjects performed total 3780 repetitions box-conveying task. task included continuous sequential removing, carrying depositing boxes weighing 2–12 kg. The subjects' motion captured using motion-capture technology. origin/destination height most influencing predictor spinal shoulder trunk, knee relationship between heights above parameters nonlinear. mass box, subject's mass, also influenced moments. A tradeoff L5/S1 vertebrae found. Compared to similar studies that focused (albeit under different conditions), high-order equation moment formulated present found explain 10% 48% more variability suggests future might improve prediction.