手臂和腿部运动结构的计算机模拟

W. Buford, C. Andersen, K. Elder, J. M. Pickard, R. Patterson
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引用次数: 1

摘要

为了对1、2和3自由度(DOF)运动模型的适当性进行可视化和定量验证,我们开发了一个交互式系统,用于独立调整和定义代表人体腿和手臂运动的多自由度连杆系统。一旦确定了运动学结构,还可以定义和调整用于交互定义肌腱和肌肉参数的控制点,从而实现交互式肌肉骨骼建模和仿真。所有的运动转换节点都是在OpenGL层次结构中建立的链接。独立调整每个运动轴的结构需要在可视化和调整期间跟踪应用于轴的所有变换的逆。逆应用于感兴趣的轴以下的层次结构中的所有结构,因此在3D调整期间只有轴受到影响。结果是一个运动学结构定义程序,用户可以用它交互式地建立运动学模型。该程序具有无限旋转自由度的能力。该系统允许对轴的位置进行视觉调整和验证。这个交互任务是通过控制观察者的视点以及视图和每个轴的位置和方向来完成的。这些动态指令与远端关节段围绕其定义轴的旋转控制同时执行。有了这样的灵活性,用户能够在整个关节运动范围内基于关节一致性的3D视觉验证快速迭代适当的轴位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer simulation of arm and leg kinematic structures
To obtain a visual and quantitative verification of the appropriateness of 1-, 2- and 3-degree-of-freedom (DOF) models for motion, we have developed an interactive system for the independent adjustment and definition of multiple-DOF linkage systems representative of human leg and arm motion. Once the kinematic structure is defined, control points for interactive definition of tendon and muscle parameters may also be defined and adjusted, leading the way to interactive musculoskeletal modeling and simulation. All kinematic transformation nodes are built as linkages within an OpenGL hierarchical structure. The structure for the independent adjustment of each axis of motion required tracking the inverse of all transformations applied to the axis during visualization and adjustment. The inverse is applied to all structures in the hierarchy below the axis of interest so that only the axis is affected during 3D adjustment. The result is a kinematic structure definition program with which the user interactively builds the kinematic model. The program has the capacity for unlimited rotational DOFs. The system allows for the visual adjustment and verification of the placement of axes. This interactive task is carried out through control of the observer viewpoint and the position and orientation of the view and of each axis. These dynamic commands are carried out simultaneously with rotational control of distal joint segments about their defined axes. With such flexibility, the user is able to rapidly iterate upon appropriate axis placement based on a 3D visual verification of joint congruence throughout the joint range of motion.
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