基于计算机视觉的瞬时速度跟踪系统,用于测量100米短跑的次任务速度:开发和并发有效性研究研究
Teerawat Kamnardsiri1,2, Sirinun Boripuntakul3, Chinawat Kaiket4,2
1Department of Digital Game, College of Arts, Media and Technology, Chiang Mai University, 50200, Chiang Mai, Thailand.
Heliyon
|December 30, 2024
概括
一个新的计算机视觉系统准确地测量100米冲刺速度,为运动员的训练和绩效监测提供了宝贵的见解.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 竞技表现分析 运动表现分析
背景情况:
- 传统的100米冲刺计时方法测量的是平均速度,而不是瞬间速度.
- 监测个体短跑者的瞬间速度对于定制的训练计划至关重要.
研究的目的:
- 开发一种计算机视觉系统,用于评估100米冲刺次任务速度.
- 为了验证这个视频分析软件与既定方法的并发有效性.
主要方法:
- 五名运动员完成了两个试验,记录了10米分速的速度.
- 一个计算机视觉系统被开发和验证使用皮尔森相关性和布兰德-阿尔特曼图.
主要成果:
- 计算机视觉系统显示了与所有冲刺次任务的现有测量系统的强烈相关性 (r=0.961-1.000,p<0.0001).
- 布兰德-阿尔特曼分析证实了系统之间的最小平均差异和良好的协议.
结论:
- 基于计算机视觉的系统是测量和监控100米冲刺次任务速度的有效和可靠工具.
- 这项技术可以显著帮助教练制定个性化的短跑者训练计划.
相关概念视频
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