利用乒乓球拍弹跳声检测旋转

Thomas Gossard, Julian Schmalzl, Andreas Ziegler, Andreas Zell
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引用次数: 0

摘要

虽然乒乓球运动员主要依靠视觉线索,但声音也能提供宝贵的信息。当球撞击球拍时产生的声音可以帮助预测球的轨迹,特别是在确定旋转方面。虽然专业选手可以通过这些听觉线索分辨旋转,但未经训练的选手往往不会注意到这些线索。在本文中,我们证明了不同的球拍会产生不同的声音,这些声音可以用来识别球拍类型。此外,我们还证明,球拍产生的声音可以显示球是否旋转。为此,我们创建了一个综合数据集,其中包含来自 10 种球拍配置的反弹声音,每种配置都对球施加了不同的旋转。为了达到毫秒级的时间精度,我们首先检测出可能与乒乓球反弹相对应的高频峰值。然后,我们使用基于 CNN 的分类器完善这些结果,该分类器可准确预测所使用球拍的类型以及是否应用了旋转。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spin Detection Using Racket Bounce Sounds in Table Tennis
While table tennis players primarily rely on visual cues, sound provides valuable information. The sound generated when the ball strikes the racket can assist in predicting the ball's trajectory, especially in determining the spin. While professional players can distinguish spin through these auditory cues, they often go unnoticed by untrained players. In this paper, we demonstrate that different rackets produce distinct sounds, which can be used to identify the racket type. In addition, we show that the sound generated by the racket can indicate whether spin was applied to the ball, or not. To achieve this, we created a comprehensive dataset featuring bounce sounds from 10 racket configurations, each applying various spins to the ball. To achieve millisecond level temporal accuracy, we first detect high frequency peaks that may correspond to table tennis ball bounces. We then refine these results using a CNN based classifier that accurately predicts both the type of racket used and whether spin was applied.
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