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多关节手臂运动中手部平衡轨迹的控制

The control of hand equilibrium trajectories in multi-joint arm movements.

作者信息

Flash T

机构信息

Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139.

出版信息

Biol Cybern. 1987;57(4-5):257-74. doi: 10.1007/BF00338819.

Abstract

According to the equilibrium trajectory hypothesis, multi-joint arm movements are achieved by gradually shifting the hand equilibrium positions defined by the neuromuscular activity. The magnitude of the force exerted on the arm, at any time, depends on the difference between the actual and equilibrium hand positions and the stiffness and viscosity about the equilibrium position. The purpose of this paper is to test the validity and implications of this hypothesis in the context of reaching movements. A mathematical description of the behavior of an arm tracking the equilibrium trajectory was developed and implemented in computer simulations. The joint stiffness parameters used in these simulations were derived from experimentally measured static stiffness values. The kinematic features of hand equilibrium trajectories which were derived from measured planar horizontal movements gave rise to the suggestion that the generation of reaching movements involves explicit planning of spatially and temporally invariant hand equilibrium trajectories. This hypothesis was tested by simulating actual arm movements based on hypothetical equilibrium trajectories. The success of the predicted behavior in capturing both the qualitative features and the quantitative kinematic details of the measured movements supports the equilibrium trajectory hypothesis. The control strategy suggested here may allow the motor system to avoid some of the complicated computational problems associated with multi-joint arm movements.

摘要

根据平衡轨迹假说,多关节手臂运动是通过逐渐改变由神经肌肉活动所定义的手部平衡位置来实现的。在任何时刻,施加在手臂上的力的大小取决于实际手部位置与平衡位置之间的差异以及围绕平衡位置的刚度和粘性。本文的目的是在伸手够物动作的背景下检验这一假说的有效性及其影响。开发了一个描述手臂跟踪平衡轨迹行为的数学模型,并在计算机模拟中予以实现。这些模拟中使用的关节刚度参数源自实验测量的静态刚度值。从测量的平面水平运动中得出的手部平衡轨迹的运动学特征表明,伸手够物动作的产生涉及对手部平衡轨迹在空间和时间上的不变性进行明确规划。通过基于假设的平衡轨迹模拟实际手臂运动来检验这一假说。预测行为在捕捉测量运动的定性特征和定量运动学细节方面的成功支持了平衡轨迹假说。这里提出的控制策略可能使运动系统避免一些与多关节手臂运动相关的复杂计算问题。

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