Virtual Team Sport Trainer for Immersive Player Repetitions
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Solution Overview
Problem
Football training faces challenges in providing sufficient repetitions to players without risking injury or exceeding practice time limitations, particularly for non-starting and starting players, due to logistical constraints and the inability to simulate real game scenarios effectively.
Innovation Solution
A virtual team sport trainer system utilizing advanced computing, immersive display technologies, and graphic animation to provide a first-person perspective and realistic simulations of opponent team actions, allowing players to practice reactive instincts and receive feedback on their performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If repetitive drilling against a scout team is used for player training, then players can practice reactive instincts and receive real-time feedback, but the risk of injury increases and practice time limitations are exceeded
Solution Approach 1:
The patent creates virtual copies of opponent players through computer-generated avatars that simulate real opponent behaviors, tendencies, and reactions. These virtual copies allow players to practice against realistic scenarios without physical contact, eliminating injury risk while maintaining training effectiveness. The virtual opponent team replicates the strategic and tactical elements of real opponents through programmed behaviors based on historical game data.
2Reliability
If more repetitions are provided to players during practice, then training effectiveness improves, but practice time limitations are exceeded
Solution Approach 1:
The virtual trainer system enables continuous training repetitions without the breaks and setup time required in traditional scout team drills. Players can immediately transition between different play scenarios, formations, and opponent tendencies without reconfiguring physical equipment or waiting for opponent team repositioning. The system maintains continuous engagement by rapidly presenting diverse training scenarios.
Solution Approach 2:
The virtual opponent team dynamically adjusts its behaviors, reactions, and strategies based on the training scenario requirements. The system can instantly change opponent tendencies, play calls, and reactive patterns without physical repositioning, allowing for diverse training repetitions within limited practice time. This dynamic adaptability enables coaches to simulate multiple opponent styles and scenarios in a single practice session.
3Loss of information
If non-starting players observe from sidelines or review video playback, then they can see plays from All-22 perspective, but they do not receive repetitions at their position and cannot develop positional instincts
Solution Approach 1:
The system transitions non-starting players from passive observation (2D video review) to active participation in a virtual 3D environment. Players wear head-mounted displays that provide first-person positional views, immersing them in the game from their specific position on the field. This dimensional transformation allows players to experience plays from their actual positional perspective while actively engaging in virtual repetitions, developing both visual recognition and positional instincts simultaneously.
4Productivity
If virtual simulation technology is implemented, then training repetitions can be increased without injury risk and time limitations, but the complexity of the training system increases
Solution Approach 1:
The virtual trainer system serves multiple training functions through a single integrated platform: it can simulate various opponent teams with different tendencies, present diverse play scenarios, provide real-time feedback, and adapt to different skill levels. The same hardware and software infrastructure supports multiple training objectives, reducing the need for separate training equipment and systems for each function.
Solution Approach 2:
The system incorporates automated opponent behavior generation using artificial intelligence that automatically creates realistic opponent reactions and strategies without requiring manual programming for each scenario. The virtual opponents self-adjust their behaviors based on programmed tendencies and historical data, reducing the complexity of system configuration and maintenance while providing diverse training scenarios.
Data Source
AI summary
A team sport training system is configured to provide an immersive simulation of at least a portion of an opponent team play responsive to real actions of a player.