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提高网球练习:用智能网球进行传感器融合和姿势估计

Yu Kit Foo¹, Xi Li¹, Rami Ghannam¹

¹James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.

Sensors (Basel, Switzerland)

|August 29, 2024

概括

这项研究将传感器融合集成到网球中,用于姿势估计和数据收集,实现球旋转和RPM的实时可视化,以增强网球训练.

科学领域:

运动技术技术运动技术
传感器融合式传感器
生物力学生物力学

背景情况:

传统的网球训练缺乏对球动态的准确,客观的反.
现有的测量工具可能是繁的或侵入自然游戏.

研究的目的:

开发一个紧的,非侵入性的传感器系统,用于网球姿势估计和数据收集.
为了实现实时反球旋转和旋转,以便在网球中进行渐进式学习.

主要方法:

集成的博世BNO055智能传感器与内置的传感器融合.
开发用于定向数据处理的数学和模拟方法.
将传感器嵌入泡网球中,并通过蓝牙向Unity接口无线传输数据.

主要成果:

成功实时可视化网球旋转,加速方向,每分钟旋转 (RPM) 和相对于重力的方向.
精确的RPM测量和有效的实时显示球旋转.
用于网球训练应用程序的功能原型的演示.

结论:

开发的传感器融合系统为网球训练提供了准确和有价值的数据.
紧的设计使其可以轻松地集成到练习球中.
这项技术为增强网球教练和球员发展提供了创新的途径.

关键词:

触觉反是一种触觉反.网球网球网球网球可以穿戴的传感器.

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Motion of a Projectile

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Horizontal motion, governed by the initial kick, maintains a constant velocity throughout the flight of the soccer ball.