位置很重要 - - 智能高尔夫球杆能否检测出球头击中球的位置?
Bernhard Hollaus1, Yannic Heyer1, Johannes Steiner2
1Department of Medical, Health & Sports Engineering, MCI, Maximilianstraße 2, 6020 Innsbruck, Austria.
Sensors (Basel, Switzerland)
|December 23, 2023
概括
这项研究探讨了使用高尔夫球杆上的运动传感器来检测撞击位置. 一个神经网络实现了93.8%的准确性,为高尔夫训练反提供了一个移动解决方案.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 机器学习 机器学习
背景情况:
- 准确的高尔夫球撞击位置对于球飞行至关重要.
- 目前的测量方法是静止和外部的.
- 需要一个移动解决方案来实践实时反.
研究的目的:
- 调查使用运动传感器检测高尔夫球杆撞击位置的可行性.
- 开发一个移动系统实时影响反.
- 评估机器学习模型对冲击位置分类的准确性.
主要方法:
- 进行了一项实验,其中一名高尔夫球手使用7铁进行了282次高尔夫球摆动.
- 使用Trackman技术记录了撞击位置.
- 高尔夫球棍运动数据是使用惯性测量单元 (IMU) 捕获的.
- 一个ResNet神经网络被设计和训练来根据运动数据对撞击位置进行分类.
主要成果:
- 在估计撞击位置时,获得了93.8%的分类准确度.
- ResNet架构有效地利用运动数据进行分类.
- 这项研究表明了移动传感器在高尔夫球分析中的潜力.
结论:
- 高尔夫球杆轴上的运动传感器可以准确地检测撞击位置.
- 这项技术为静止测量系统提供了可行的移动替代方案.
- 这些发现支持开发高尔夫球运动员的高级训练工具.
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