Sensor-Based Soccer Training System for Objective Performance Evaluation
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Solution Overview
Problem
Existing American soccer training and evaluation methods are inaccurate and prone to subjective bias, making it difficult to achieve consistent and reliable performance data that can be shared among governing entities.
Innovation Solution
A computer-implemented training and evaluation system using modular training equipment and sensors to track player performance, providing objective data on skills and techniques, which can be accessed and analyzed by coaches and administrators through a web portal and mobile app.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional subjective evaluation methods are used for player assessment, then the evaluation process is simple and quick, but the accuracy and reliability of performance data deteriorates due to subjective bias
Solution Approach 1:
The patent replaces subjective human evaluation with automated sensor-based measurement systems. Sensors capture objective performance data such as ball contact force, player position, and movement metrics, eliminating subjective bias while providing precise, quantifiable evaluation results through computer processing.
Solution Approach 2:
The patent introduces an intermediary computational system that processes raw sensor data and translates it into meaningful performance metrics. This intermediary layer between the physical training environment and the evaluation output ensures objective, consistent assessment while managing the complexity of raw data through structured analysis algorithms.
2Reliability
If automated sensor-based evaluation systems are implemented, then measurement accuracy and objectivity improve, but the complexity of the evaluation system increases
Solution Approach 1:
The patent designs a multi-functional integrated system where sensors serve multiple purposes: tracking player position, measuring ball contact dynamics, monitoring training intensity, and evaluating technical skills. This universal approach consolidates multiple evaluation functions into a single system, improving reliability while managing complexity through functional integration.
Solution Approach 2:
The evaluation system automatically processes and analyzes performance data without requiring manual intervention for data collection or initial analysis. The system self-calibrates sensors, automatically triggers measurements based on detected actions, and generates performance reports, reducing operational complexity while maintaining high reliability through consistent automated execution.
3Measurement precision
If detailed performance tracking is implemented for all players, then evaluation accuracy improves, but the time and resources required for data processing increase
Solution Approach 1:
The patent implements continuous real-time data collection and processing during training sessions. Sensors continuously monitor player performance metrics, and the computational system processes this data stream without interruption, enabling immediate feedback and eliminating post-session data aggregation delays. This continuous operation maintains high measurement precision while minimizing time loss through parallel processing.
Solution Approach 2:
The system prioritizes processing critical performance metrics in real-time while deferring analysis of secondary data. Key evaluation parameters such as ball contact accuracy and positional correctness are processed immediately, while less critical data is batch-processed later, reducing overall processing time while maintaining measurement precision for essential evaluation criteria.
Data Source
AI summary
A computer-implemented American soccer training and evaluation method that includes subjecting a drilling user to predefined drilling protocol(s) of a plurality of American soccer drilling assemblies and obtain, from each pre-defined drilling protocol(s) of the plurality of American soccer drilling assemblies and from at least one sensor on each of the assemblies, at least one user physical characteristic of the drilling user. The user physical characteristic is communicated to an administrative server over a network, where it is stored and used to create a drilling user performance profile having individualized performance comparisons with respect to the at least one user physical characteristic of the drilling user and a performance benchmark. Then, the drilling user performance profile is communicated to at least one of a plurality of electronic computing devices of a plurality of consuming users for evaluation and review.