Xiang Yujiang
Department of Mechanical Engineering, University of Alaska Fairbanks, Fairbanks, Alaska.
J Appl Biomech. 2014 Feb;30(1):140-6. doi: 10.1123/jab.2012-0159.
Human carrying is simulated in this work by using a skeletal digital human model with 55 degrees of freedom. An optimization-based approach is used to predict the carrying motion with symmetric and asymmetric loads. In this process, the model predicts joint dynamics using optimization schemes and task-based physical constraints. The results indicate that the model can predict different carrying strategies during symmetric and asymmetric load-carrying tasks. The model can also indicate the risk factors for extreme loading situations. With such robust prediction capability, the model could be used for biomedical and ergonomic studies.
在这项工作中，通过使用具有55个自由度的骨骼数字人体模型来模拟人体搬运。采用基于优化的方法来预测对称和非对称负载下的搬运运动。在此过程中，该模型使用优化方案和基于任务的物理约束来预测关节动力学。结果表明，该模型可以预测对称和非对称负载搬运任务期间的不同搬运策略。该模型还可以指出极端负载情况的风险因素。凭借这种强大的预测能力，该模型可用于生物医学和人体工程学研究。
