Sports Performance Analysis System Using Video Segmentation

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Solution Overview

Problem

Current systems lack an efficient method for acquiring and analyzing sports performance data, particularly in situational sports like tennis, to improve player training and coaching efficiency.

Innovation Solution

A system utilizing video acquisition and processing units with recognition, position, play scanning, and classification modules to analyze tennis matches, extracting descriptive, prescriptive, and predictive information from video footage, and providing actionable insights through a user interface.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual analysis methods are used for sports performance data, then simplicity is maintained, but analysis efficiency and productivity are insufficient

Engineering Contradiction:
Improveanalysis efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical analysis with an automated electronic system that uses video acquisition devices, processing units, and algorithms to automatically detect, track, and analyze sports performance data. This substitution dramatically improves analysis efficiency while managing complexity through modular system design.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service analysis by automatically processing video footage and generating performance metrics without requiring manual intervention. The electronic processing unit autonomously performs detection, tracking, and analysis functions, allowing coaches and athletes to obtain insights without extensive manual labor.

Inventive Principle:
Principle #25Self-service

2Loss of information

If comprehensive performance data is captured, then information completeness is improved, but data processing complexity increases

Engineering Contradiction:
Improveinformation completenessVSAvoidprocessing complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the complex analysis task into distinct functional modules: video acquisition, event detection, player tracking, ball tracking, and performance analysis. Each module handles a specific aspect of data processing, which reduces overall complexity while maintaining comprehensive information capture through the coordinated operation of these specialized components.

Inventive Principle:
Principle #1Segmentation

3Productivity

If automated analysis systems are implemented, then productivity is improved, but system complexity increases

Engineering Contradiction:
Improvecoaching efficiencyVSAvoidsystem structure
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent designs a universal system that can analyze multiple types of sports performances using the same core architecture. The electronic processing unit is configured to handle different sport-specific parameters and rules, making the system adaptable to various sports while maintaining a consistent underlying structure that manages complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250010134A1System for acquiring and analysing a sports performance
Publication Date: 2025.01.09 MAS TECH SRL
  • US20250010134A1 patent drawing
  • US20250010134A1 patent drawing
  • US20250010134A1 patent drawing

AI summary

The system for acquiring and analysing a sports performance includes an electronic processing unit having a reading module, configured to receive as input a succession of data associated with the execution of the sports performance; a suspension module configured to identify series of actions that conclude with the suspension of play, on the basis of predefined playing rules, wherein each playing action is defined at least by the reciprocal relations between players and the playing projectile coupled with fundamental playing events marking the sports performance, uniquely identified over time and derived from the acquired succession of data; and a segmentation module configured to divide the series of actions into one or more playing segments, each of which includes three actions at most.