Relative Performance Measure for Sports Players
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Solution Overview
Problem
Current methods for determining the relative performance of players in sports are manual and lack automation, making it difficult to assess whether a player's action was influenced more by their own performance or their opponent's performance.
Innovation Solution
A method involving the receipt of position information related to players and a sporting projectile, followed by a comparison to determine a relative performance measure, which can be used to automate the process of producing match highlights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to determine relative player performance, then analysis accuracy can be maintained through expert judgment, but automation and productivity are reduced
Solution Approach 1:
The system enables automated self-assessment of player performance by using objective position data and statistical models to determine relative performance measures without requiring manual expert analysis, thus achieving both automation and maintained accuracy through systematic data processing
Solution Approach 2:
The patent replaces manual expert analysis (mechanical human judgment process) with an automated computational system that uses position information, statistical models, and algorithms to determine performance measures, thereby increasing automation while maintaining measurement precision through systematic data-driven approaches
2Measurement precision
If manual analysis methods are used, then detailed performance assessment can be achieved, but time consumption and loss of time increase
Solution Approach 1:
The system continuously processes position information data streams in real-time during matches, enabling continuous performance assessment without interruption or delay, thus eliminating time loss while maintaining detailed assessment capabilities through ongoing automated analysis
Solution Approach 2:
The patent replaces time-consuming manual analysis with automated computational processing that instantly calculates performance measures from position data, thereby eliminating the time delay inherent in manual methods while preserving detailed assessment through systematic data processing
3Productivity
If automated systems are implemented, then productivity and speed are improved, but device complexity increases
Solution Approach 1:
The system uses a universal statistical model framework that can handle multiple sports and performance metrics through the same core architecture, reducing complexity by avoiding the need for separate specialized systems for different analysis tasks while maintaining high automation capability
Solution Approach 2:
The patent introduces an intermediary statistical model layer that processes raw position information and translates it into performance measures, simplifying the overall system architecture by decoupling data collection from analysis and enabling modular, manageable complexity while maintaining high productivity
Data Source
AI summary
A method for determining a relative performance measure between at least two players in a sport, comprising: receiving position information relating to each of the players and a sporting projectile as each player hits or receives the sporting projectile, and determining, based on an analysis of the position information, the relative performance measure between the players.