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BIOMECHANICAL STRUCTURE OF THE ARM PREDICTS KINEMATIC INVARIANTS OF HAND MOVEMENTS

机译:手臂的生物力学结构预测手动运动的运动不变

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It has been noticed that during arm movements the hand trajectory is characterized by a number of kinematic invariants that are observed during various direction, amplitude, speed, and load conditions. For instance, the hand trajectory is usually close to a straight line and the velocity profile of the hand has a bell shape during point-to-point movements. During drawing movements the two-third power law is observed that predicts variations in the hand velocity depending on the trajectory curvature. These and other consistent kinematic characteristics of hand motion are usually interpreted as preplanned features of movement that the central nervous system (CNS) pursues for some particular reason, such as decreasing the number of degrees of freedom. The present study demonstrates that the geometrical structure of the arm and the organization of muscular control at each joint predict the kinematic invariants. These predictions are derived analytically with use of the small approximation approach for description of the hand movement as a function of sinusoidal movements of small amplitude at the shoulder and elbow. Our experimental data support the predictions derived for small movements and demonstrates that these predictions hold for movements usually studied in human motor control.
机译:已经注意到,在臂运动期间,手轨迹的特征在于在各种方向,幅度,速度和负载条件下观察到的许多运动不变。例如,手动轨迹通常接近直线,并且手的速度曲线在点对点运动期间具有喇叭形状。在绘图运动期间,观察到前三个电力法律,其根据轨迹曲率预测手速度的变化。这些和其他一致的手动运动的运动特性通常被解释为中枢神经系统(CNS)以某种特殊原因追求的运动的预先预期特征,例如降低自由度的程度。本研究表明,每个关节在每个关节的臂的几何结构和肌肉控制的组织预测了运动不变。这些预测是通过使用小近似方法的微小近似方法来源地导出,以便在肩部和肘部处的小振幅的正弦运动的函数。我们的实验数据支持用于小运动的预测,并表明这些预测用于通常在人机控制中研究的运动。

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