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METHOD AND SYSTEM OF CONSTRAINT-BASED OPTIMIZATION OF DIGITAL HUMAN UPPER LIMB MODELS

机译:基于约束的数字化人类上肢模型优化方法和系统

摘要

PROBLEM TO BE SOLVED: To provide an upper limb model of a virtual manikin for predicting a posture having high robustness.SOLUTION: An upper limb model of a virtual manikin includes a data conversion engine configured to produce converted data based on one or more data sets. Each data set represents dependencies between elements of the kinematic model. The upper limb model further includes a kinematic chain model configured to generate one or more constraints based on the converted data. The upper limb model also includes a posturing engine configured to determine, based on the one or more constraints, a trajectory from a first position to a second position. The kinematic model may further include a rendering engine configured to render a posture corresponding to the second posture. The elements of the kinematic model may include one or more of a clavicle, a scapula, a humerus, a forearm and a hand.SELECTED DRAWING: Figure 5
机译:解决的问题:提供用于预测具有高鲁棒性的姿势的虚拟人体模型的上肢模型。解决方案:虚拟人体模型的上肢模型包括数据转换引擎,该数据转换引擎配置为基于一个或多个数据集生成转换后的数据。 。每个数据集表示运动学模型的元素之间的依赖关系。上肢模型还包括运动学链模型,该运动学链模型配置为基于转换后的数据生成一个或多个约束。上肢模型还包括姿势引擎,该姿势引擎被配置为基于一个或多个约束来确定从第一位置到第二位置的轨迹。运动学模型可以进一步包括渲染引擎,该渲染引擎被配置为渲染与第二姿势相对应的姿势。运动学模型的元素可能包括锁骨,肩骨,肱骨,前臂和手中的一个或多个。选定的图:图5

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