对与改善越野滑雪表现相关的生物力学因素的数据驱动分析
Alexander J MacNeil1, Tamar D Kritzer1,2, Alexis D Napper1
1Department of Kinesiology, Faculty of Applied Health Sciences, Brock University, St. Catharines, ON, Canada.
Frontiers in sports and active living
|December 1, 2025
概括
这项研究使用数据驱动生物力学来分析越野滑雪的表现. 精英运动员的关键因素包括主导的推进策略和增加的联合力量,为训练提供了洞察力.
科学领域:
- 体育 生物力学 运动 生物力学
- 运动分析 运动分析
- 性能优化 性能优化
背景情况:
- 越野滑雪的表现受到复杂的生物力学因素的影响.
- 了解这些决定因素对于运动员的发展和训练至关重要.
- 以前的研究往往侧重于孤立的运动,而不是整体的策略.
研究的目的:
- 实施数据驱动的生物机械方法来评估越野滑雪的性能决定因素.
- 量化推进策略,时空协调,阻力和联合功率输出.
- 识别与不同运动员技能水平相关的关键生物力学特征.
主要方法:
- 在地面越野滑雪试验期间收集的全身运动数据.
- 分析了来自不同技能水平的8名运动员的5568个运动周期.
- 使用自动分类器和主要组件分析来识别推进策略和运动风格.
主要成果:
- 确定主导的推进策略作为区分技能水平的关键因素.
- 发现较小的正面面积和减少滑雪外部旋转与更高的性能相关.
- 在熟练的越野滑雪运动员中观察到上半身和下半身关节力量的增加.
结论:
- 数据驱动的生物机械分析可以有效地识别越野滑雪表现的关键特征.
- 调查结果为有效的策略提供了洞察力,这些策略可以传达给运动员.
- 这种方法在体育场景中有潜在的应用,用于提高表现.
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