力量训练作为运动学习的动态模型
Steven Morrison1, Karl M Newell2
1School of Rehabilitation Sciences, Old Dominion University, Norfolk, VA, USA.
Journal of sports sciences
|June 4, 2023
概括
力量训练可以用动态系统原理建模为感知运动学习. 该框架通过整合不同时间尺度的实践和培训影响来解释绩效变化.
科学领域:
- 发动机控制器的控制器
- 动态系统理论 动态系统理论
- 感知机器学习是指感知机器学习.
背景情况:
- 力量训练涉及复杂的运动技能的获得.
- 运动学习研究经常采用动态系统原理.
- 缺少力量训练和运动学习的统一框架.
研究的目的:
- 提出力量培训的动态系统框架.
- 将力量训练映射到已建立的运动学习原则上.
- 分析力量训练中性能变化的时间表.
主要方法:
- 建模力量训练作为一个动态系统.
- 强调固定点吸引力动力学.
- 分析随着时间的推移,绩效的增加和减少.
主要成果:
- 力量训练与运动学习的一般动态原则保持一致.
- 截然不同的时间表表现出不同类型的性能变化 (例如,离散与连续任务).
- 独特的时间表存在,用于处理各种影响,如练习,疲劳和学习.
结论:
- 力量训练可以有效地被概念化为感知运动学习的动态模型.
- 该框架整合了多个学习水平的实践和培训效应.
- 了解这些动态原则可以优化培训和技能发展.
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