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开发了一种简单的算法,用于检测滑雪期间的大型空中跳跃和跳跃
Stefan Kranzinger1, Christina Kranzinger1, Aaron Martinez Alvarez2
1Salzburg Research Forschungsgesellschaft mbH, Human Motion Analytics, Salzburg, Austria.
PloS one
|July 18, 2024
概括
一个新的算法使用滑雪靴加速数据来检测滑雪中的跳跃. 它准确地识别大空中和中等跳跃,并处罚得分来管理较小跳跃的过度检测.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 传感器技术 传感器技术
背景情况:
- 跳跃是包括滑雪在内的众多运动中的关键性能指标.
- 了解跳跃机制对于运动员的训练和性能提升至关重要.
- 现有的跳跃分析方法可能缺乏简单性或易于实施.
研究的目的:
- 为滑雪开发一个简单的跳跃检测算法.
- 为了利用滑雪靴中的惯性测量单元 (IMU) 的加速数据.
- 提供关于滑雪中不同跳跃类型的见解.
主要方法:
- 基于双双滑雪靴的平均绝对垂直加速度的算法开发.
- 在大空中跳跃和两个类别的滑雪跳跃 (小和中等) 上测试算法.
- 在各种参数设置中评估算法性能.
主要成果:
- 该算法实现了对大空中跳跃的100%检测.
- 中等跳跃 (飞行时间≥500毫秒) 的检测率为94%,小型跳跃 (飞行时间<500毫秒) 的检测率为44%.
- 在检测率和过度检测之间观察到一个权衡,这导致了对罚款调整的得分的建议.
结论:
- 拟议的算法提供了一种简单而有效的方法来检测滑雪中的显著跳跃.
- 建议进行惩罚调整的得分,以平衡性能分析中的检测准确度和过度检测.
- 这种方法可以帮助教练和运动员更有效地分析跳跃表现.
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