Figure skating’s demanding jumps require precise aerial rotations and landings, where minute technical improvements can enhance performance. MIT’s Jerry Lu developed OOFSkate, an optical tracking system leveraging AI to analyze video of skaters’ jumps and recommend targeted technique enhancements. The system aids athletes in optimizing rotation speed and height, potentially enabling mastery of quadruple and quintuple jumps.
OOFSkate also informs coaches and commentators, making judging decisions more transparent for viewers. Its application during the 2026 Winter Olympics aimed to clarify complex scoring and highlight athletic difficulty using AI-driven insights. This approach exemplifies AI’s expanding role in sports performance analysis and broadcasting.
Source & further reading
3 Questions: Using AI to help Olympic skaters land a quint ↗Source published 2026-02-10. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.