Fair Play — VR Hockey
AI (Artificial Intelligence)
Helping you make the right decision.
Objectives of AI Implementation
• Personalization: Provide athletes with improvement recommendations based on their individual stats and progress over time.
• Enhanced Analytics: Obtain more accurate data on shooting technique, movement, and player behavior in a virtual environment, beyond standard statistics.
• Automated Training Adjustments: Dynamically modify the difficulty and scenarios based on the player’s current condition, fitness level, and performance results.
AI Models and Their Tasks
1. Personal Recommendation Model
• Analyzes each athlete’s training history to identify patterns (e.g., “the player often misses on the left side of the goal”).
• Suggests specific drills or modifies training intensity (e.g., increases shots to the left side or alters the speed of “puck delivery”).
2. Progress Predictive Analytics
• Uses machine learning to predict how quickly a player can reach certain metrics (for instance, a 10% increase in shooting accuracy), based on past performance.
• Enables coaches or players to set realistic short-term and long-term goals (weekly, monthly, or seasonal).
3. Automatic Error Detection
• Computer vision and motion analysis algorithms can identify common technical flaws (e.g., incorrect stick angle or delayed hand movement).
• The system instantly provides tips in the form of text, diagrams, or voice prompts through the VR interface.
4. Adaptive Mode for Users with Disabilities
• AI automatically adjusts speed, intensity, and exercise types according to a user’s physical abilities.
• If the algorithm detects that certain tasks are too difficult or too easy, it recalibrates the workout program in real time.
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Roles and Benefits for Different User Groups
• Children and Beginners: Receive step-by-step recommendations and a training progression plan in which difficulty scales with their development.
• Professional Players: Detailed metrics (speed, accuracy, shot trajectory) and AI-driven suggestions give a competitive edge for season preparation or critical matches.
• People with Disabilities: The system auto-adjusts drills to suit physical capabilities, providing maximized inclusivity and steady progress without overexertion.
Technology and Equipment
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Oculus VR Headsets (Meta)
Deliver high-quality graphics, a wide field of view, wireless connectivity, and complete freedom of movement.
Hockey Stick Controllers
Specialized controllers that simulate the feel of a real hockey stick, providing haptic feedback and precise tracking.
Sense Arena Software
Integrates seamlessly with Oculus hardware, automatically processes large sets of data, and maintains performance stats.
Portability
I plan to conduct trainings either in a rented facility or by bringing the necessary equipment (VR headsets, laptops, etc.) to existing groups (e.g., youth hockey, rehabilitation centers)
Feedback and AI Interaction Formats
• Individual Reports: After each session, players get a summary highlighting key metrics and AI recommendations.
• Real-Time Feedback: If a common mistake is detected (e.g., excessive torso rotation, incorrect hand positioning), the system may give an instant pop-up or audio signal, helping players correct their action immediately.
• Dedicated “AI Content”: Special challenges or mini-scenarios generated by analyzing big data (e.g., “the group’s most frequent error is poor accuracy under quick passing conditions”).
& Financial Plan
Technical Implementation
• Integration with Sense Arena: Utilize their API/SDK to retrieve and analyze data on shots, movement, etc.
• AI (ML) Module: Runs on a cloud service (AWS, Google Cloud, Azure) with autoscaling.
• Security and Privacy: Comply with GDPR and similar regulations, ensuring anonymized and encrypted personal data.
Potential Growth and Future Development
• Personal “AI Coach”: A voice assistant in VR that provides commentary and advice during drills.
• Integration with Smart Wearables: Monitoring heart rate and calories burned allows the AI to fine-tune workload and watch for overtraining risks.
• Injury Risk Assessment: Analyzing movement patterns and loads can help detect injury predispositions and reduce risk.
Advantages for the Business Model and Marketing
• Unique Selling Proposition: Offering a “smarter,” data-driven VR platform with detailed AI analytics makes Fair Play — VR Hockey stand out among competitors.
• Enhanced Subscription Value: Potential introduction of premium tiers that give players access to deeper analytics and personalized AI-driven training plans.
• User Retention: Continuous motivation and visible performance imp
& Financial Plan
Fair Play — VR Hockey
© 2025 by Fair Play VR Hockey
+1 (714) 949-8806
Data Sources and Collection Methods
• VR Equipment and Sense Arena: Collect detailed telemetry data, including shooting direction and force, reaction speed, movement accuracy, and “virtual skating” positioning.
• Additional Sensors (if needed): The system can be expanded with sensors on player gear or controllers to capture biomechanical data (movement tempo, biometric indicators).
• Cloud Storage: Data is collected and processed on servers where AI algorithms can access them.