Basketball Shot Tracking Normalizing Shooter-Centered Coordinates
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Solution Overview
Problem
Existing basketball shooting performance tracking systems face challenges in accurately assessing shot placement and shooter skill levels due to variations in shot angles and locations on the court, making it difficult to provide effective feedback for improvement.
Innovation Solution
A system that uses cameras and processors to capture and analyze shot trajectories and placements, normalizing shot placements based on the location of the shooter relative to the hoop to generate placement maps and evaluate shooting parameters, providing feedback on adjustments needed to improve shot accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If shot placement is tracked using fixed hoop coordinates, then shot placement can be recorded, but accuracy of skill assessment deteriorates due to variations in shot angles and locations
Solution Approach 1:
The system transforms shot placement data from fixed hoop coordinates to shooter-centered coordinates by changing the reference frame parameters. This allows accurate assessment of shot placement relative to the shooter's position and angle, enabling consistent skill evaluation across different court locations and shot types
Solution Approach 2:
The system adds dimensional context by incorporating shooter location and shot angle information alongside traditional shot placement data. This multi-dimensional approach transforms 2D hoop coordinates into 3D spatial understanding that accounts for the shooter's perspective and court position, resolving the contradiction between fixed measurement and adaptive assessment
2Measurement precision
If normalization of shot placements is implemented, then skill assessment accuracy improves, but system complexity increases
Solution Approach 1:
The system implements feedback by comparing normalized shot placements against ideal placement patterns and providing actionable insights to shooters. This feedback mechanism guides shooters toward optimal shot placement while the system automatically handles the complex normalization calculations, improving skill assessment without requiring manual intervention
Solution Approach 2:
The system performs automated normalization and analysis of shot placement data without requiring manual intervention. The processing system self-manages the coordinate transformations and skill assessment calculations, reducing operational complexity while maintaining high measurement precision through algorithmic processing
Data Source
AI summary
Systems and methods relating to the tracking of the performance of a person playing basketball are described. The systems and methods can be used to determine and evaluate the shot placement of the basketball at the basketball hoop. The shot placement includes a lateral position and a depth position and is determined from a base point on the basketball hoop. The base point can correspond to the portion of the basketball hoop that is closest to the person's location on the basketball court when taking the shot. A placement map can be provided to the person that provides information on the person's shot placements so that the person can make adjustments to his/her shot placement and increase the probability of making a shot.