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Servo-motor control of human arm dinematics in virtual reality modeling

机译:虚拟现实建模中人手臂运动学的伺服电机控制

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This paper discusses one aspect of a collaborative project to develop a "Virtual Arm Model" between the University of Delaware and LeTourneau University. The purpose of this project is to study the neural and biomechanical contributions to arm movement. To accomplish the larger task of developing a complete virtual arm model, we have utilized a computational musculotendon and skeletal model of the dman elbow joint (Gonzalez, et al., 1996) to predict movement profiles using only the electromyographic (EMC) signals of five primary muscles crossing the elbow joint. Testing and refinement of the complete computational elbow model is accomplished by relating experimental arm position and torque to predicted arm postion and torque. Precise arm positions and joint torque measurements are accmplished through the use of a controllable servo-motor integrated into an arm constraint as shown is figure 1.
机译:本文讨论了在特拉华大学和勒图瑙大学之间开发“虚拟手臂模型”的合作项目的一个方面。该项目的目的是研究神经和生物力学对手臂运动的贡献。为了完成开发完整的虚拟手臂模型的更大任务,我们利用了dman肘关节的计算肌腱和骨骼模型(Gonzalez等,1996)来仅使用五个肌电图(EMC)信号来预测运动曲线穿过肘关节的主要肌肉。通过将实验手臂的位置和扭矩与预测的手臂位置和扭矩相关联,可以完成完整的计算肘模型的测试和优化。精确的手臂位置和关节扭矩测量通过使用集成在手臂约束中的可控伺服电机得以实现,如图1所示。

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