Morasso P, Mussa Ivaldi F A
Biol Cybern. 1982;45(2):131-42. doi: 10.1007/BF00335240.
This paper proposes a computational model for different aspects of trajectory formation, from point-to-point movements to handwriting. The proposed model is based on a mechanism of composition of basic curve elements (strokes) which separates the spatial and the temporal aspects of trajectory formation. At the same time, the model suggests a method for storing and describing arm movements, as a list of stroke descriptors. Experimental trajectories were digitized and analyzed with regard to several types of movements: i) point-to-point trajectories, ii) closed trajectories, iii) trajectories with inflection points, iv) spiral-like trajectories, v) handwritten trajectories. Velocity and curvature profiles were computed for the trajectories and the model was fitted to the data. The implications of the model and its "credibility" in the general context of motor control are discussed.
本文提出了一个针对轨迹形成不同方面的计算模型,涵盖从点对点运动到书写。所提出的模型基于基本曲线元素(笔画)的组合机制,该机制将轨迹形成的空间和时间方面区分开来。同时,该模型提出了一种将手臂运动存储和描述为笔画描述符列表的方法。实验轨迹被数字化,并针对几种类型的运动进行了分析:i)点对点轨迹,ii)封闭轨迹,iii)带有拐点的轨迹,iv)螺旋状轨迹,v)手写轨迹。计算了这些轨迹的速度和曲率分布,并将模型与数据进行拟合。讨论了该模型在运动控制总体背景下的意义及其“可信度”。