使用希尔伯特-黄变换对高尔夫球摇摆运动的生物力学分析
1School of Engineering, Chukyo University, Toyota 470-0393, Japan.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
本研究介绍了一种负担得起的惯性运动捕获系统,用于高尔夫球摆动分析,识别与切片轨迹相关的特定身体运动. 该方法可以帮助高尔夫球手通过检测生物力学差异来提高准确性.
科学领域:
- 生物力学 生物力学
- 体育科学 运动科学 运动科学
- 运动分析 运动分析
背景情况:
- 传统的高尔夫球摇摆分析工具 (高速摄像机,Trackman) 昂贵且难以获得.
- 了解直线和切片高尔夫球轨迹之间的生物力学差异对于改进至关重要.
- 识别导致切片的关键摇摆组件可以帮助技能发展.
研究的目的:
- 提出一个负担得起的惯性运动捕捉系统,用于准确的高尔夫球摆动分析.
- 为了区分产生直线和切片高尔夫球轨迹的运动.
- 使用希尔伯特-黄变换 (HHT) 进行高尔夫球摆的生物力学分析.
主要方法:
- 利用一个负担得起的惯性运动捕捉系统来记录高尔夫球挥杆的运动.
- 应用了希尔伯特-黄变换 (HHT) 来对记录的运动进行详细的生物力学分析.
- 分析了来自平均高尔夫球手,单一残疾人和初学者高尔夫球手的数据.
主要成果:
- 确定了直线和切片轨迹在撞击时的瞬间频率和振幅之间的明显差异.
- 对于平均高尔夫球手来说,撞击时头部和左腿运动幅度的增加与切片轨迹相关.
- 检测到与切片相关的单个障碍者的特定关节运动 (部,左臂);初学者摆动显示出变化.
结论:
- 提出的基于HHT的运动捕捉框架有效地区分了高尔夫球摆上的生物力学差异.
- 该系统可以识别有助于切片轨迹在不同技能水平的关键运动.
- 这种方法提供了一个具有成本效益的解决方案,以帮助高尔夫球手改进他们的技术,以获得更直的投篮.
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