用手机实时估算羽毛球扣杀速度，让业余选手也能用专业数据练球
A Real-Time, Vision-Based System for Badminton Smash Speed Estimation on Mobile Devices
- 用YOLOv5检测羽毛球，结合卡尔曼滤波跟踪轨迹
- 基于视频的时空缩放法自动计算击球速度
- 打包成手机应用，无需专业设备
运动表现指标如击球速度和角度，对运动员发展至关重要。然而，传统获取这些指标的技术成本高、复杂且难以被业余和休闲球员使用。本文针对全球最受欢迎的运动之一——羽毛球，提出一种新颖、低成本且用户友好的系统，利用普及的智能手机技术测量扣杀速度。该方法采用自训练的YOLOv5模型进行羽毛球检测，并结合卡尔曼滤波实现鲁棒的轨迹跟踪。通过基于视频的运动学速度估计方法与时空缩放技术，系统可从普通视频中自动计算羽毛球的飞行速度。整个流程集成于直观的移动端应用中，使高水平表现分析不再局限于专业训练场景，真正实现性能数据的普惠化，赋能各水平玩家提升技战术能力。
原文摘要 · Abstract (English)
Performance metrics in sports, such as shot speed and angle, provide crucial feedback for athlete development. However, the technology to capture these metrics has historically been expensive, complex, and largely inaccessible to amateur and recreational players. This paper addresses this gap in the context of badminton, one of the world's most popular sports, by introducing a novel, cost-effective, and user-friendly system for measuring smash speed using ubiquitous smartphone technology. Our approach leverages a custom-trained YOLOv5 model for shuttlecock detection, combined with a Kalman filter for robust trajectory tracking. By implementing a video-based kinematic speed estimation method with spatiotemporal scaling, the system automatically calculates the shuttlecock's velocity from a standard video recording. The entire process is packaged into an intuitive mobile application, democratizing access to high-level performance analytics and empowering players at all levels to analyze and improve their game.
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