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投掷的可供性:非控制流形分析。

Affordances for throwing: An uncontrolled manifold analysis.

机构信息

Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom.

School of Humanities and Social Sciences, Leeds Beckett University, Leeds, United Kingdom.

出版信息

PLoS One. 2024 Apr 17;19(4):e0301320. doi: 10.1371/journal.pone.0301320. eCollection 2024.

Abstract

Movement systems are massively redundant, and there are always multiple movement solutions to any task demand; motor abundance. Movement consequently exhibits 'repetition without repetition', where movement outcomes are preserved but the kinematic details of the movement vary across repetitions. The uncontrolled manifold (UCM) concept is one of several methods that analyses movement variability with respect to task goals, to quantify repetition without repetition and test hypotheses about the control architecture producing a given abundant response to a task demand. However, like all these methods, UCM is under-constrained in how it decomposes a task and performance. In this paper, we propose and test a theoretical framework for constraining UCM analysis, specifically the perception of task-dynamical affordances. Participants threw tennis balls to hit a target set at 5m, 10m or 15m, and we performed UCM analysis on the shoulder-elbow-wrist joint angles with respect to variables derived from an affordance analysis of this task as well as more typical biomechanical variables. The affordance-based UCM analysis performed well, although data also showed thrower dynamics (effectivities) need to be accounted for as well. We discuss how the theoretical framework of affordances and affordance-based control can be connected to motor abundance methods in the future.

摘要

运动系统具有高度冗余性,对于任何任务需求,通常都有多种运动解决方案;运动的丰富性。因此,运动表现出“重复而不重复”的特征,运动结果得以保留,但运动的运动学细节在重复中发生变化。非受控流形(UCM)概念是分析运动变异性与任务目标之间关系的几种方法之一,用于量化重复而不重复,并检验关于控制架构的假设,以对任务需求产生给定的丰富响应。然而,与所有这些方法一样,UCM 在如何分解任务和表现方面存在约束。在本文中,我们提出并测试了一种用于约束 UCM 分析的理论框架,特别是任务动力性可供性的感知。参与者将网球投掷到 5m、10m 或 15m 的目标处,我们对肩肘腕关节角度进行了 UCM 分析,这些角度与对该任务的可供性分析以及更典型的生物力学变量得出的变量有关。基于可供性的 UCM 分析表现良好,尽管数据还表明需要考虑投掷者的动力学(有效性)。我们讨论了未来如何将可供性和基于可供性的控制的理论框架与运动丰富性方法联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7895/11023389/3714560d12ff/pone.0301320.g001.jpg

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