MOBILE CAMERA-BASED SYSTEM FOR REAL-TIME BASEBALL SWING ANALYSIS

Smart overview of the Invention

A mobile camera-based system offers real-time analysis and feedback on baseball swings using computer vision and machine learning. It involves a mobile application that captures high-frame-rate video of a swing with one or two smartphone cameras. Key points on the bat are detected using a custom YOLO-based pose estimation model, and the bat's trajectory is processed through an XGBoost machine learning model. This predicts swing metrics like bat speed and attack angle, which are displayed to the user in seconds, allowing instant feedback and adjustments.

Technical Field

The system relates to real-time baseball swing analysis using mobile device cameras, integrating pose estimation models and machine learning. It aims to provide instant feedback on key swing parameters, enhancing player development. This approach is designed to overcome limitations of traditional methods like sensor-based systems or expensive motion capture setups by offering an accessible, affordable solution suitable for any batting practice environment.

Background

Traditional methods for analyzing baseball swings face challenges such as the need for physical sensors, which can disrupt players, and expensive, complex setups for motion capture. These methods are not easily scalable or accessible. The invention addresses the need for a non-intrusive, cost-effective solution that provides immediate feedback using minimal equipment, leveraging advancements in computer vision and machine learning to deliver real-time swing metrics.

Summary of Invention

The system captures high-quality video of baseball swings using mobile device cameras and processes these using advanced computer vision and machine learning techniques. Key bat movements are detected and analyzed to predict swing metrics like bat speed and time to contact. The results are displayed in a user-friendly interface for immediate feedback. This markerless, sensor-free approach allows players to analyze swings in any setting without altering their equipment or mechanics.

Advantages and Features

The system provides several advantages: it eliminates the need for external sensors, offers accurate 2D pose estimation using deep learning models, and predicts 3D bat kinematics from 2D video. It measures a comprehensive set of swing metrics correlated with performance, delivering results within seconds. The mobile app interface supports efficient video capture, real-time metric display, and data synchronization to the cloud for long-term tracking. This innovative approach facilitates data-driven insights and accelerates player development.