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Movement Retraining using Real-time Feedback of Performance
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大学棒球投手使用无标记追踪技术的规范性游戏内数据

Kevin A Giordano1, Abigail Schmitt2, Adam Nebel3

  • 1Department of Physical Therapy. Louisiana State Health Science Center, New Orleans, Louisiana.

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概括

无标记运动捕捉为大学投手提供了新的棒球生物力学数据. 这些发现为棒球中伤害分析和性能优化建立了关键的参考值.

关键词:
在中国,KinaTraxx.棒球 投球 投球 棒球描述性数据 描述性数据没有标记的运动捕捉.

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科学领域:

  • 运动医学 运动医学
  • 生物力学 生物力学
  • 运动学 运动学

背景情况:

  • 基于标记器的光学运动捕捉是棒球生物力学的标准.
  • 无标记运动捕捉为游戏内数据收集提供了更好的可访问性.
  • 由于潜在的数据变化,无标记系统需要不同的规范值.

研究的目的:

  • 描述棒球投球中的常见动力学变量.
  • 为了收集数据,使用游戏中的无标记运动捕捉系统.

主要方法:

  • 通过使用8个同步的300赫兹摄像头,收集了来自5支球队的51名大学棒球投手的动态数据.
  • 分析了三轴干部和骨盆旋转,肩部旋转,肩部水平绑架,肩部绑架,肘部曲,脚步膝盖曲和部肩部分离.
  • 专注于第一局投的快球,平均数据来自投手超过3次外出.

主要成果:

  • 分析了509个快球,平均速度为40.98米/秒 (91.5英里/小时).
  • 报告的平均垂直断裂 (42.0 ± 10.6厘米) 和水平断裂 (28.0 ± 11.1厘米).
  • 提供了步伐长度,臂槽,上臂槽和时间序列动力学变量的规范性数据.

结论:

  • 在大学棒球投手中为游戏中的无标记运动捕捉生物力学制定了单独的规范.
  • 这些参考值对研究人员,教练和临床医生至关重要.
  • 数据有助于将受伤机制置于背景,并为回归比赛的协议提供信息.