Hackfest Repository - HF24-Team Void
Develop computer vision software for sport biomechanics in the metaverse to analyze athlete movements, enhance performance, guide coaching, and prevent injuries through real-time image processing during sporting activities.
Our software leverages computer vision to capture athlete movement data in real-time or from recordings, seamlessly integrating with cameras or wearable sensors in both metaverse training environments and real-world sporting arenas.
By extracting key features like joint angles, velocities, and accelerations, we translate movement data into actionable insights that empower coaches and athletes to optimize performance.
We go beyond performance analysis by utilizing movement patterns to predict potential injury risks. This allows coaches and athletes to take preventative measures, reducing downtime and ensuring long-term well-being.
By providing coaches with real-time feedback and data-driven insights, our software empowers them to tailor training programs for individual athletes, maximizing their potential.
Provide coaches with immediate feedback on athlete technique to improve performance.
Analyze movement patterns to identify athletes at risk for specific injuries and recommend preventive measures.
Enable coaches to monitor and analyze athlete movements remotely. Help athletes optimize their training programs by identifying areas for improvement.
Analyze athlete movements within a virtual training environment in the metaverse.
- Real-time feedback for athletes to improve technique and performance.
- Coaches gain data-driven insights to optimize training programs.
- Reduce risk of injuries and improve athlete well-being.