Review: Approaches to Visual-motor Control in Baseball Batting

Review: Approaches to Visual-motor Control in Baseball Batting
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评论:棒球击球中视觉运动控制的方法

DOI:
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发表时间:
2021
影响因子:
1.4
通讯作者:
R. Gray
R. Gray
中科院分区:
医学4区
文献类型:
--
作者:
R. Gray

文献摘要

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意义本综述根据对这一主题的研究,对棒球击球中基于模型的在线视觉运动控制方法进行了评估。纵观棒球击球的研究历史,关于这项复杂技术的视觉-运动控制是如何发生的,一直有一个假定的赢家。由于严格的时间限制和动作持续时间短,人们认为棒球挥杆必须涉及基于模型的控制。也就是说,击球需要使用开环的、预先编程的移动,该移动是基于情景概率、投手投球的提前线索和球飞行早期的信息来参数化的,内部模型使用这些信息来预测球的未来位置。在这篇综述中,作者将这种基于模型的控制的两种变体(3D世界模型和轨迹的空间记忆)与在线控制方法进行了对比,在在线控制方法中,击球手仅使用当前可用的感知信息,通过信息-运动耦合来前瞻性地控制挥杆。结果表明,预测控制在棒球击球中的必要性假设是基于对在线控制概念的过于狭隘。尽管仍然需要做工作来阐明控制的细节,但这里认为,在线控制提供了一种对棒球击球中的视觉-运动控制的描述,这既更简明,也与已发表的研究结果更一致。
SIGNIFICANCE This review evaluates model-based online approaches to visual-motor control in baseball batting in light of research studies on this topic. Throughout the history of research on baseball batting, there has been a presumptive winner in terms of how visual-motor control occurs for this complex skill. Because of the severe time constraints and the short duration of the action, it has been assumed that a baseball swing must involve model-based control. That is, hitting involves using an open-loop, pre-programmed movement that is parameterized based on situational probabilities, advance cues from the pitcher's delivery, and information early in the ball flight, which are used by an internal model to predict the future location of the ball. In this review, the author contrasts two variants of this type of model-based control (a 3D world model and spatial memory of trajectories) with an online control approach in which the batter uses only currently available perceptual information to control the swing prospectively via information-movement coupling. It is shown that the assumed necessity of predictive control in baseball batting is based on too narrow of a conception of online control. Although work still needs to be done to elucidate the specifics of the control, it is argued here that online control provides an account of visual-motor control in baseball batting that is both more parsimonious and more consistent with published research findings.