Faculty of Human Kinetics, Technical University of Lisbon, Lisbon, Portugal.
Medicina (Kaunas). 2010;46(6):408-14.
In the last years, several motion analysis methods have been developed without considering representative contexts for sports performance. The purpose of this paper was to explain and underscore a straightforward method to measure human behavior in these contexts.
Procedures combining manual video tracking (with TACTO device) and bidimensional reconstruction (through direct linear transformation) using a single camera were used in order to capture kinematic data required to compute collective variable(s) and control parameter(s). These procedures were applied to a 1vs1 association football task as an illustrative subphase of team sports and will be presented in a tutorial fashion.
Preliminary analysis of distance and velocity data identified a collective variable (difference between the distance of the attacker and the defender to a target defensive area) and two nested control parameters (interpersonal distance and relative velocity).
Findings demonstrated that the complementary use of TACTO software and direct linear transformation permit to capture and reconstruct complex human actions in their context in a low dimensional space (information reduction).
在过去的几年中，已经开发出了几种运动分析方法，但没有考虑到运动表现的代表性背景。本文的目的是解释和强调一种简单的方法，以便在这些背景下测量人类行为。
为了获取计算集体变量和控制参数所需的运动学数据，我们使用了一种带有 TACTO 设备的手动视频跟踪和二维重建（通过直接线性变换）的组合方法。该方法使用单个摄像机进行操作，并应用于 1 对 1 的足球任务中，作为团队运动的一个说明性子阶段，并将以教程的形式呈现。
对距离和速度数据的初步分析确定了一个集体变量（攻击者和防守者与目标防守区域的距离差）和两个嵌套控制参数（人际距离和相对速度）。
研究结果表明，TACTO 软件和直接线性变换的互补使用可以在低维空间（信息减少）中捕获和重建其背景下的复杂人类行为。
