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MULTIBODY DYNAMICS INTEGRATED WITH MUSCLE MODELS AND SPACE-TIME CONSTRAINTS FOR OPTIMIZATION OF LIFTING MOVEMENTS

机译:多体动力学与肌肉模型和时空约束集成,以优化提升运动

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A multibody dynamics model integrated with space-time constraints based optimization is presented in this paper for generating optimal trajectories of human lifting movements. "Space-time constraints" is a two-point boundary value dynamic optimization technique developed for animation of computer graphics characters and has a significant potential for biomechanics and other mechanical movement based dynamic optimization problems. Optimization results demonstrate the ability to consider different preferences for minimizing the loading of specific joints such as an ankle, or a knee, or a shoulder during the lifting motion and the resulting lifting trajectories are shown to be different. Lumped muscle models to generate the joint torques are incorporated at five joints to model the actuation effects of the muscular system during the dynamic movement. The dynamic optimization is then based on the muscle activation parameters instead of the traditionally used joint torques. The muscle activation model optimization is shown to correlate better with the actual motion tests conducted by the VICON video capture and test data analysis system.
机译:本文提出了一种与基于时空约束的优化集成的多体动力学模型,用于产生人提升运动的最佳轨迹。 “时空约束”是一种为计算机图形字符的动画开发的两点边界值动态优化技术,具有重要的生物力学和基于机械运动的动态优化问题。优化结果证明了考虑最小化诸如脚踝或膝关节的装载的不同偏好的能力,并且所示的提升轨迹在提升运动期间的肩部或肩部被示出不同。产生联合扭矩的集成肌肉模型以五个接头掺入,以模拟动态运动期间肌肉系统的致动效果。然后,动态优化基于肌肉激活参数而不是传统使用的联合扭矩。通过VICON视频捕获和测试数据分析系统进行的实际运动测试,肌肉激活模型优化显示更好地相关。

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