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基于惯性运动捕捉的手动搬运过程中 L5/S1 力矩估计。

Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling.

机构信息

Univ Lyon, Univ Gustave Eiffel, Univ Claude Bernard Lyon 1, LBMC UMR_T 9406, F-69622 Lyon, France.

Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail (IRSST), Montreal, QC H3A 3C2, Canada.

出版信息

Sensors (Basel). 2022 Aug 26;22(17):6454. doi: 10.3390/s22176454.

DOI:10.3390/s22176454
PMID:36080913
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9459798/
Abstract

Inertial motion capture (IMC) has gained popularity in conducting ergonomic studies in the workplace. Because of the need to measure contact forces, most of these in situ studies are limited to a kinematic analysis, such as posture or working technique analysis. This paper aims to develop and evaluate an IMC-based approach to estimate back loading during manual material handling (MMH) tasks. During various representative workplace MMH tasks performed by nine participants, this approach was evaluated by comparing the results with the ones computed from optical motion capture and a large force platform. Root mean square errors of 21 Nm and 15 Nm were obtained for flexion and asymmetric L5/S1 moments, respectively. Excellent correlations were found between both computations on indicators based on L5/S1 peak and cumulative flexion moments, while lower correlations were found on indicators based on asymmetric moments. Since no force measurement or load kinematics measurement is needed, this study shows the potential of using only the handler's kinematics measured by IMC to estimate kinetics variables. The assessment of workplace physical exposure, including L5/S1 moments, will allow more complete ergonomics evaluation and will improve the ecological validity compared to laboratory studies, where the situations are often simplified and standardized.

摘要

惯性运动捕捉(IMC)在工作场所进行人体工程学研究中越来越受欢迎。由于需要测量接触力,这些现场研究大多仅限于运动学分析,例如姿势或工作技术分析。本文旨在开发和评估一种基于 IMC 的方法,以估计手动搬运(MMH)任务中的背部负荷。在九名参与者执行的各种代表性工作场所 MMH 任务中,通过将结果与光学运动捕捉和大型力平台计算的结果进行比较,对该方法进行了评估。对于屈曲和不对称 L5/S1 力矩,分别获得了 21Nm 和 15Nm 的均方根误差。基于 L5/S1 峰值和累积屈曲力矩的指标,在两种计算之间发现了极好的相关性,而基于不对称力矩的指标则发现了较低的相关性。由于不需要力测量或负载运动学测量,因此本研究表明仅使用 IMC 测量的处理者运动学来估计动力学变量具有潜力。对工作场所物理暴露的评估,包括 L5/S1 力矩,将允许更完整的人体工程学评估,并与实验室研究相比提高生态有效性,因为在实验室研究中,情况通常被简化和标准化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4382/9459798/562e66714f8d/sensors-22-06454-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4382/9459798/f0998a74f901/sensors-22-06454-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4382/9459798/cf5fa54d491d/sensors-22-06454-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4382/9459798/32dd05d76114/sensors-22-06454-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4382/9459798/562e66714f8d/sensors-22-06454-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4382/9459798/f0998a74f901/sensors-22-06454-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4382/9459798/cf5fa54d491d/sensors-22-06454-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4382/9459798/32dd05d76114/sensors-22-06454-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4382/9459798/562e66714f8d/sensors-22-06454-g004.jpg

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Combined influence of transfer distance, pace, handled mass and box height on spine loading and posture.传递距离、步速、处理质量和箱子高度对脊柱负荷和姿势的综合影响。
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