Jacksonville, Florida, December 2, 2025
The OOFSkate app, developed by Jerry Lu and Jacob Blindenbach, is revolutionizing figure skating by utilizing AI technology to provide real-time feedback on skater performance. The app analyzes key technical elements, enhancing training efficiency and allowing skaters to focus on both their technique and artistic expression. While full implementation in competitions may take time, the app is aimed at improving fairness and modernizing the sport ahead of the 2026 Milan Cortina Olympics.
Jacksonville, Florida – December 2, 2025
AI Transforms Olympic-Level Figure Skating Training
Artificial Intelligence (AI) is revolutionizing Olympic-level figure skating by providing real-time, objective feedback on skaters’ technical elements, enhancing training and performance analysis.
Introduction of OOFSkate App
The OOFSkate app, developed by former college swimmers Jerry Lu and Jacob Blindenbach, utilizes AI technology to analyze jump height, spin speed, airtime, and landing quality through smartphone or tablet cameras. This system offers precise measurements without requiring sensors on athletes, assisting coaches and skaters in identifying subtle errors that human judges might miss.
Automating Technical Scoring
OOFSkate aims to automate the technical scoring aspects of figure skating, such as verifying jump rotations and blade edges, allowing human judges to focus on the artistic evaluation. Skaters can compare their current performance against past attempts or benchmark data from elite athletes, making it a powerful coaching tool. The app has been embraced by U.S. Figure Skating and received input from top athletes and coaches.
Future Implementation in Competitions
While full implementation in competition judging may take years due to technical and Olympic bureaucratic hurdles, Lu and Blindenbach are focused on using the app to support training, enhance fairness, and modernize the sport ahead of the 2026 Milan Cortina Olympics.
Background on AI in Figure Skating
AI’s role in figure skating has been expanding, with previous initiatives like Fujitsu’s high-precision skeleton recognition AI technology adopted by the Japan Skating Federation in July 2025 to enhance athlete training. Additionally, AI systems have been piloted in other judged sports, such as snowboarding, to increase objectivity and reduce judging errors, indicating a growing trend of integrating AI into sports performance analysis.
Conclusion
The integration of AI technologies like OOFSkate is poised to transform figure skating by providing detailed, real-time feedback, thereby improving training efficiency and performance accuracy. As these technologies evolve, they hold the potential to modernize the sport and ensure fairer evaluations in competitions.
Frequently Asked Questions (FAQ)
What is the OOFSkate app?
The OOFSkate app is an AI-powered application developed by Jerry Lu and Jacob Blindenbach that analyzes skaters’ jump height, spin speed, airtime, and landing quality using smartphone or tablet cameras, providing real-time, objective feedback without requiring sensors on athletes.
How does OOFSkate assist in training?
OOFSkate automates the technical scoring aspects of figure skating, such as verifying jump rotations and blade edges, allowing human judges to focus on artistic evaluation. Skaters can compare their current performance against past attempts or benchmark data from elite athletes, making it a powerful coaching tool.
When will OOFSkate be implemented in competitions?
Full implementation in competition judging may take years due to technical and Olympic bureaucratic hurdles. However, the app is currently being used to support training, enhance fairness, and modernize the sport ahead of the 2026 Milan Cortina Olympics.
Has AI been used in other sports?
Yes, AI systems have been piloted in other judged sports, such as snowboarding, to increase objectivity and reduce judging errors, indicating a growing trend of integrating AI into sports performance analysis.
Key Features of OOFSkate
| Feature | Description |
|---|---|
| Real-Time Feedback | Provides immediate analysis of technical elements like jump height, spin speed, airtime, and landing quality. |
| No Sensors Required | Utilizes smartphone or tablet cameras to analyze performance without the need for additional equipment on athletes. |
| Automated Technical Scoring | Automates aspects of technical scoring, allowing human judges to focus on artistic evaluation. |
| Benchmark Comparisons | Allows skaters to compare their performance against past attempts or data from elite athletes. |
| Coaching Tool | Serves as a powerful tool for coaches to identify subtle errors and improve training efficiency. |
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