在体育环境中不同仪器之间增加测量协议:跳跃高度估计案例研究
Chiara Carissimo1, Annalisa D'Ermo2, Angelo Rodio2
1Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, 86100 Campobasso, Italy.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
本研究引入了一种代方法,以协调从惯性和基于视觉的运动分析工具的跳跃高度测量. 该方法确保在不同技术上一致的运动员绩效评估.
科学领域:
- 生物力学 生物力学
- 运动科学 运动科学 运动科学
- 测量科学 测量科学 测量科学
背景情况:
- 准确评估身体量,特别是在体育运动中,对于评估运动员的表现和健身至关重要.
- 运动分析工具被广泛使用,但由于不同的方法和测量原理,可以产生不同的结果.
- 测量的差异阻碍了对运动员数据的均比较,影响了表现进展和学科间分析.
研究的目的:
- 开发一种方法来协调通过不同的运动分析技术获得的不同跳跃高度测量.
- 为了实现运动员的一致和可比的绩效指标,无论使用的测量工具.
- 为整合或转换来自惯性和基于视觉的跳跃分析系统的数据提供框架.
主要方法:
- 实施了一种代方法来处理跳跃高度数据的两个时间序列.
- 分析了两个不同的技术:惯性测量单元和基于视觉的系统.
- 该方法提供了三个解决方案:将惯性映射到基于视觉的映射,基于视觉的映射到惯性映射,或创建一个全面的测量.
主要成果:
- 开发的方法成功地解决了惯性和基于视觉的跳跃高度估计之间的差异.
- 它为数据协调提供了可适应的解决方案,允许直接比较或采用单个转换的测量.
- 该方法促进了随着时间的推移的一致的绩效跟踪和运动员之间的标准化比较.
结论:
- 提出的代方法有效地统一了来自不同测量系统的跳跃高度数据.
- 这使得运动员表现的可靠,均的评估成为可能,这对训练和比赛至关重要.
- 这些发现支持采用标准化指标进行体育表现分析,提高可比性和准确性.
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