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    Home»Thought Leadership in AI»3 Questions: Utilizing AI to assist Olympic skaters land a quint | MIT Information
    Thought Leadership in AI

    3 Questions: Utilizing AI to assist Olympic skaters land a quint | MIT Information

    Yasmin BhattiBy Yasmin BhattiFebruary 10, 2026No Comments7 Mins Read
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    3 Questions: Utilizing AI to assist Olympic skaters land a quint | MIT Information
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    Olympic determine skating appears to be like easy. Athletes sail throughout the ice, then soar into the air, spinning like a prime, earlier than touchdown on a single blade simply 4-5 millimeters broad. To assist determine skaters land quadruple axels, Salchows, Lutzes, and possibly even the elusive quintuple with out trying in the least careworn, Jerry Lu MFin ’24 developed an optical monitoring system known as OOFSkate that makes use of synthetic intelligence to research video of a determine skater’s leap and make suggestions on find out how to enhance. Lu, a former researcher on the MIT Sports activities Lab, has been aiding elite skaters on Staff USA with their technical efficiency and will probably be working with NBC Sports activities throughout the 2026 Winter Olympics to assist commentators and TV viewers make higher sense of the advanced scoring system in determine skating, snowboarding, and snowboarding. He’ll be making use of AI applied sciences to elucidate nuanced judging choices and display simply how technically difficult these sports activities may be.

    In the meantime, Professor Anette “Peko” Hosoi, co-founder and college director of the MIT Sports activities Lab, is embarking on new analysis aimed toward understanding how AI programs consider aesthetic efficiency in determine skating. Hosoi and Lu not too long ago chatted with MIT Information about making use of AI to sports activities, whether or not AI programs might ever be used to evaluate Olympic determine skating, and once we may see a skater land a quint.

    Q: Why apply AI to determine skating?

    Lu: Skaters can all the time preserve pushing, greater, quicker, stronger. OOFSkate is all about serving to skaters determine a solution to rotate somewhat bit quicker of their jumps or leap somewhat bit greater. The system helps skaters catch issues that maybe might move an eye fixed check, however which may permit them to focus on some high-value areas of alternative. The inventive aspect of skating is way more durable to judge than the technical components as a result of it’s subjective.

    To make use of cellular coaching app, you simply must take a video of an athlete’s leap, and it’ll spit out the bodily metrics that drive what number of rotations you are able to do. It tracks these metrics and builds in all the different present elite and former elite athletes. You possibly can see your knowledge after which see, “That is how an Olympic champion did this factor, maybe I ought to attempt that.” You get the comparability and the automated classifier, which exhibits you in case you did this trick at World Championships and it have been judged by a world panel, that is roughly the grade of execution rating they’d offer you.

    Hosoi: There are a variety of AI instruments which can be coming on-line, particularly issues like pose estimators, the place you’ll be able to approximate skeletal configurations from video. The problem with these pose estimators is that in case you solely have one digicam angle, they do very nicely within the aircraft of the digicam, however they do very poorly with depth. For instance, in case you’re attempting to critique anyone’s kind in fencing, they usually’re shifting towards the digicam, you get very unhealthy knowledge. However with determine skating, Jerry has discovered one of many few areas the place depth challenges don’t actually matter. In determine skating, that you must perceive: How excessive did this individual leap, what number of occasions did they go round, and the way nicely did they land? None of these depend on depth. He’s discovered an software that pose estimators do rather well, and that doesn’t pay a penalty for the issues they do badly.

    Q: Might you ever see a world by which AI is used to judge the inventive aspect of determine skating?

    Hosoi: On the subject of AI and aesthetic analysis, we’ve got new work underway because of a MIT Human Perception Collaborative (MITHIC) grant. This work is in collaboration with Professor Arthur Bahr and IDSS graduate scholar Eric Liu. Whenever you ask an AI platform for an aesthetic analysis resembling “What do you consider this portray?” it would reply with one thing that sounds prefer it got here from a human. What we wish to perceive is, to get to that evaluation, are the AIs going by the identical kind of reasoning pathways or utilizing the identical intuitive ideas that people undergo to reach at, “I like that portray,” or “I don’t like that portray”? Or are they simply parrots? Are they simply mimicking what they heard an individual say? Or is there some idea map of aesthetic enchantment? Determine skating is an ideal place to search for this map as a result of skating is aesthetically judged. And there are numbers. You possibly can’t go round a museum and discover scores, “This portray is a 35.” However in skating, you’ve received the info.

    That brings up one other much more fascinating query, which is the distinction between novices and consultants. It’s recognized that professional people and novice people will react in a different way to seeing the identical factor. Any person who’s an professional choose could have a distinct opinion of a skating efficiency than a member of the overall inhabitants. We’re attempting to know variations between reactions from consultants, novices, and AI. Do these reactions have some widespread floor in the place they’re coming from, or is the AI coming from a distinct place than each the professional and the novice?

    Lu: Determine skating is fascinating as a result of all people working within the discipline of AI is attempting to determine AGI or synthetic normal intelligence and attempting to construct this extraordinarily sound AI that replicates human beings. Engaged on making use of AI to sports activities like determine skating helps us perceive how people assume and method judging. This has down-the-line impacts for AI analysis and corporations which can be growing AI fashions. By gaining a deeper understanding of how present state-of-the-art AI fashions work with these sports activities, and the way that you must do coaching and fine-tuning of those fashions to make them work for particular sports activities, it helps you perceive how AI must advance.

    Q: What’s going to you be awaiting within the Milan Cortina Olympics determine skating competitions, now that you just’ve been finding out and dealing on this space? Do you assume somebody will land a quint?

    Lu: For the winter video games, I’m working with NBC for the determine skating, ski, and snowboarding competitions to assist them inform a data-driven story for the American individuals. The aim is to make these sports activities extra relatable. Skating appears to be like gradual on tv, nevertheless it’s not. Every little thing is meant to look easy. If it appears to be like laborious, you might be in all probability going to get penalized. Skaters must learn to spin very quick, leap extraordinarily excessive, float within the air, and land fantastically on one foot. The information we’re gathering will help showcase how laborious skating truly is, though it’s alleged to look simple.

    I’m glad we’re working within the Olympics sports activities realm as a result of the world watches as soon as each 4 years, and it’s historically coaching-intensive and talent-driven sports activities, not like a sport like baseball, the place in case you don’t have an elite-level optical monitoring system you aren’t maximizing the worth that you just at the moment have. I’m glad we get to work with these Olympic sports activities and athletes and make an impression right here.

    Hosoi: I’ve all the time watched Olympic determine skating competitions, ever since I might activate the TV. They’re all the time unbelievable. One of many issues that I’m going to be training is figuring out the jumps, which could be very laborious to do in case you’re an novice “choose.”

    I’ve additionally completed some back-of-the-envelope calculations to see if a quint is feasible. I’m now completely satisfied it’s potential. We’ll see one in our lifetime, if not comparatively quickly. Not on this Olympics, however quickly. After I noticed we have been so shut on the quint, I believed, what about six? Can we do six rotations? In all probability not. That’s the place we begin to come up towards the boundaries of human bodily functionality. However 5, I believe, is in attain.

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