Three-dimensional asymmetric maximum weight lifting prediction considering dynamic joint strength
Autor: | Rahid Zaman, James Yang, Jazmin Cruz, Yujiang Xiang |
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Rok vydání: | 2021 |
Předmět: |
musculoskeletal diseases
Male Knee Joint Weight Lifting 0206 medical engineering Elbow Posture 02 engineering and technology Degrees of freedom (mechanics) Wrist medicine Torque Humans 0501 psychology and cognitive sciences Ground reaction force Joint (geology) 050107 human factors Mathematics business.industry Mechanical Engineering 05 social sciences General Medicine Structural engineering Revolute joint 020601 biomedical engineering Spine Biomechanical Phenomena body regions medicine.anatomical_structure Ankle business human activities |
Zdroj: | Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine. 235(4) |
ISSN: | 2041-3033 |
Popis: | 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. |
Databáze: | OpenAIRE |
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