title: Human carrying simulation with symmetric and asymmetric loads using optimization.
abstract: 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.
authors.affiliation: Department of Mechanical Engineering, University of Alaska Fairbanks, Fairbanks, Alaska.
authors.forename: Yujiang
authors.initials: Y
authors.lastname: Xiang
mesh_terms: D003198:Computer Simulation; D007596:Joints / Q000502:physiology*; D017770:Lifting; D008954:Models, Biological; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D016138:Walking / Q000502:physiology*; D016474:Weight-Bearing / Q000502:physiology*