A computer vision based method for 3D posture estimation of symmetrical lifting
A computer vision based method for 3D posture estimation of symmetrical lifting
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DOI：
10.1016/j.jbiomech.2018.01.012
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发表时间：
2018-03-01
影响因子：
2.4
通讯作者：
Li, Kang
中科院分区：
文献类型：
--
作者：
Mehrizi, Rahil;Peng, Xi;Li, Kang
与工作相关的肌肉骨骼疾病(WMSD)在从事搬运等材料处理任务的工人中常见。为了改善工作场所的安全，有必要评估与这些任务相关的肌肉骨骼和生物力学风险暴露。这种评估主要是使用基于表面标记的方法进行的，这种方法既耗时又繁琐。在过去的十年中，基于计算机视觉的姿态估计技术受到了越来越多的关注，并可能成为基于表面标记的人体运动分析的一种可行的选择。本研究的目的是开发并验证一种基于计算机视觉的无标记运动捕捉方法来评估起重任务的三维关节运动学。使用光学摄像机从两个视角拍摄了12名执行三种对称举重任务的受试者。采用基于计算机视觉的运动捕捉方法和基于表面标记的运动捕捉方法计算关节运动学。基于计算机视觉的方法得到的关节运动学估计结果与基于表面标记的方法得到的关节运动学结果基本相当。基于计算机视觉的方法估计的关节角度与基于表面标记的方法获得的关节角度之间的差值的平均值和标准差为2.31+/-4.00度。提出的基于计算机视觉的无标记方法的一个潜在应用是对起重等工业任务的3D关节运动学进行非侵入性评估。(C)2018爱思唯尔有限公司。保留所有权利。
Work-related musculoskeletal disorders (WMSD) are commonly observed among the workers involved in material handling tasks such as lifting. To improve work place safety, it is necessary to assess musculoskeletal and biomechanical risk exposures associated with these tasks. Such an assessment has been mainly conducted using surface marker-based methods, which is time consuming and tedious. During the past decade, computer vision based pose estimation techniques have gained an increasing interest and may be a viable alternative for surface marker-based human movement analysis. The aim of this study is to develop and validate a computer vision based marker-less motion capture method to assess 3D joint kinematics of lifting tasks. Twelve subjects performing three types of symmetrical lifting tasks were filmed from two views using optical cameras. The joints kinematics were calculated by the proposed computer vision based motion capture method as well as a surface marker-based motion capture method. The joint kinematics estimated from the computer vision based method were practically comparable to the joint kinematics obtained by the surface marker-based method. The mean and standard deviation of the difference between the joint angles estimated by the computer vision based method and these obtained by the surface marker-based method was 2.31 +/- 4.00 degrees. One potential application of the proposed computer vision based marker-less method is to noninvasively assess 3D joint kinematics of industrial tasks such as lifting. (C) 2018 Elsevier Ltd. All rights reserved.