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Integrated understanding for motor skill learning from dynamical system approach

从动力系统方法对运动技能学习的综合理解

基本信息

批准号：
20240060
负责人：
YAMAMOTO Yuji
金额：
$ 32.61万
依托单位：
Nagoya University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A)
财政年份：
2008
资助国家：
日本
起止时间：
2008 至 2011
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-20240060/
关键词：
身体運動力学系理論自己組織化スポーツ技能運動制御・学習力学系対人ダイナミクス周期ダイナミクス集団ダイナミクス周期・対人・集団ダイナミクス周期動作ダイナミクス周期動作のダイナミクス対人動作ダイナミクス

项目摘要

This project has challenged to understand emergent mechanism of various sports skill from the dynamical system perspective. Some results show following : the coordination pattern for swing showed almost corresponding to isochrony of a pendulum. In the dance movement corresponding to auditory signals experts could maintain anti-phase synchronization when the frequency increased. The skill level of table tennis players could be evaluated by fractal dimensions based on stochastic dynamics. In the kendo matches, the relative phase of step towards-away velocities between both players showed abruptly switching corresponding to interpersonal distance. In the learning processes of play-tag, the players became dead-lock' synchronization based on the anti-phase synchronization of the relative phase of step towards-away velocities between both players. The coordination pattern among three people in a 3 vs. 1 ball possession task showed symmetry breaking pattern corresponding to the skill levels of the players which was predicted from symmetric Hopf bifurcation theory based on group theory for rings of coupled oscillators. The pass behavior in football games showed power law in degree distribution and common and unique network dynamics as two small competitive networks.

本课题从动力系统的角度出发，对理解各种运动技能的涌现机制提出了挑战。结果表明：摆动的协调模式几乎与单摆的等时性相对应。在舞蹈动作对应的听觉信号中，当频率增加时，专家可以保持反相同步。基于随机动力学的分形维数可以用来评价乒乓球运动员的技术水平。在剑道比赛中，双方运动员的步向速度和步向速度的相对相位随着人际距离的变化而发生突变。在对局学习过程中，对局者之间的步距相对相位的反相位同步使对局者之间形成了死锁同步。3对1控球任务中3人之间的协调模式表现出对称性破缺模式，对应于运动员的技术水平，这是基于耦合振子环群论的对称Hopf分岔理论预测的。足球比赛中的传球行为在度分布上表现出幂律性，作为两个小的竞争网络表现出共同的和独特的网络动力学特性。