Three-dimensional asymmetric maximum weight lifting prediction considering dynamic joint strength
Three-dimensional asymmetric maximum weight lifting prediction considering dynamic joint strength
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DOI：
10.1177/0954411920987035
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发表时间：
2021-01-09
期刊：
影响因子：
1.8
通讯作者：
Yang, James
中科院分区：
文献类型：
--
作者：
Zaman, Rahid;Xiang, Yujiang;Yang, James
在本研究中，使用考虑动态关节扭矩限制的基于逆动力学的优化方法来预测三维（3D）不对称最大举重。动态关节扭矩限制是关节角度和角速度的函数，施加于髋关节、膝关节、踝关节、腕关节、肘关节、肩关节和腰椎关节。 3D 模型有 40 个自由度 (DOF)，包括 34 个物理旋转关节和 6 个全局关节。通过同时最大化盒子重量和最小化关节扭矩平方和来解决多目标优化（MOO）问题。总共招募了 12 名男性受试者，使用深蹲举重策略进行最大重量的箱子举重。最后，用实验数据验证了预测的提升运动、地面反作用力和最大提升重量。预测结果与实验数据吻合较好，证明了模型的预测能力。这是第一项使用 MOO 来预测最大举重和 3D 不对称举升运动，同时考虑动态关节扭矩限制的研究。所提出的方法有可能防止个人因举重而受伤的风险。
In this study, the three-dimensional (3D) asymmetric maximum weight lifting is predicted using an inverse-dynamics-based optimization method considering dynamic joint torque limits. The dynamic joint torque limits are functions of joint angles and angular velocities, and imposed on the hip, knee, ankle, wrist, elbow, shoulder, and lumbar spine joints. The 3D model has 40 degrees of freedom (DOFs) including 34 physical revolute joints and 6 global joints. A multi-objective optimization (MOO) problem is solved by simultaneously maximizing box weight and minimizing the sum of joint torque squares. A total of 12 male subjects were recruited to conduct maximum weight box lifting using squat-lifting strategy. Finally, the predicted lifting motion, ground reaction forces, and maximum lifting weight are validated with the experimental data. The prediction results agree well with the experimental data and the model's predictive capability is demonstrated. This is the first study that uses MOO to predict maximum lifting weight and 3D asymmetric lifting motion while considering dynamic joint torque limits. The proposed method has the potential to prevent individuals' risk of injury for lifting.