Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 7 | Motion Analysis and Trajectory Reconstruction of Smart SoftBall with UWB Positioning and Inertial Sensing |
Chenhan Yang Tianyang Sun Yuxing Wu |
design_document1.docx final_paper1.pdf final_paper2.pdf photo1.png photo2.jpg presentation1.pptx |
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| # Problem Traditional softball and tennis games or training rely on human umpires or cameras to determine the ball's landing point and status. Human judgment is susceptible to error, resulting in low efficiency in training and game statistics. Camera-assisted systems (such as Hawk-Eye) require 3D modeling of the venue, at least 8-10 ultra-high-speed cameras, and a range of other equipment. This is costly, requires fixed locations, and is not mobile, making it difficult to widely apply to daily training or amateur matches. Furthermore, it cannot record the ball's speed, and trajectory in real time, resulting in incomplete training data. # Solution overview This project proposes a general-purpose intelligent softball system based on UWB: 1. A miniature UWB transmitter is embedded in the ball to transmit positioning signals in real time. 2. UWB receivers are placed at the four corners of the field to calculate the ball's three-dimensional coordinates using the TDoA algorithm. 3. Using fusion algorithms such as Kalman filtering combined with UWB data, the system can restore the ball's continuous trajectory and velocity direction. 4. The system can determine in real time whether the landing point is out of bounds, providing training and game data analysis. # Solution component 1. **Ball module: Miniature UWB transmitter + ultra-small battery ** 2. **Lightweight Design for Guaranteed Ball Flight Performance** 3. **Field Receiver Module:** * Four or more UWB receivers, fixed at the four corners of the court. * Receives ball-transmitted signals and calculates TDoA (Total DoA). 4. **Data Processing and Fusion Algorithm:** * Uses Kalman filtering and UWB data fusion. * Reconstructs the ball's 3D trajectory, axis of rotation, and rotational speed. 5. **Visualization and Analysis Platform:** * Real-time trajectory display. * Landing point and out-of-bounds determination. * Training data statistics (number of hits, speed, spin). * Report generation and technical improvement suggestions. # Criterion for Success The evaluation criteria for project success include: 1. **Hardware Implementation:** The embedded UWB module in the ball functions normally without affecting the ball's flight performance. 2. **Positioning Accuracy:** Using the four corner receivers, centimeter-level 3D position determination is achieved. 3. **Trajectory and Spin Recovery:** Continuous trajectory and rotational angular velocity can be accurately reconstructed. 4. **Real-time Out-of-Bounds Determination:** The system can automatically determine whether the ball is out of bounds, and the error is ≤ 5 cm compared with the accuracy of manual determination. 5. Data Statistics and Visualization: The system can generate training data such as ball speed, spin, and landing point, and display it visually. 6. Scalability: The system is suitable for multi-venue, mobile deployment, and is ideal for training and recreational matches. |
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