I came across this at the MIT Tech Review
How AI is changing gymnastics judging
Thanks for posting!
So how could something like this work for figure skating?
Today’s JSS system no longer relies on lasers but uses four to eight high-definition cameras positioned at each apparatus to capture a three-dimensional view of a gymnast’s performance, analyzing positions of the joints and then comparing those positions with the standards for each element in the Code of Points—almost in real time.
How many cameras would be needed to capture all areas of the rink from enough angles? Each gymnastic apparatus is more fixed in location -- but there are multiple apparatuses, as opposed to just one, much larger, ice surface.
So it shouldn't need more cameras than a whole gymnastics competition.
Are the cameras fixed, or are there camera operators who follow the movement of the athletes? Especially in floor exercise, which covers the most land area, so to speak (assuming that the running into the vault is not a judge part of the element)?
As always, my concern about adding extra cameras in figure skating is that not all rinks are built to accommodate cameras on all sides. So a system designed for large arenas might not be practical in local rinks -- even if the competitions held in those smaller venues are used to determine who qualifies to compete in the big events.
For elements like spins and lifts, AI might be able to determine whether a skater achieved necessary positions and how soon/how long. It might have trouble with more creative positions.
Cameras would also need to focus on the blades, which are relevant to some aspects of spinning and to the man's skating during a lift.
The most important aspects of skating jumps are all about the blades. Variations in body position (positive or negative) are either not relevant or could be evaluated by humans awarding GOE if some subjectivity would still be part of the scoring.
And then there's the actual skating, in step sequences (and choreo sequences, and other ice dance elements, not to mention synchro elements) and also between elements.
The system had to be taught the difference between an element and an interval between elements, as well as how much, or how little, movement constitutes “stopping.”
Unlike gymnastics, diving, etc., what's being evaluated in a figure skating program is not just elements. The skating between elements or within the extended skating elements listed above is not just intervals between the parts that are scored. It's arguably the most important, certainly the most fundamental, aspect of the performance being judged.
So if AI were to be used for judging skating (as opposed to just jumps, spins, etc.), it would need different equipment that could keep track of what the blades are doing at all times, and very different programming to be able to evaluate all that skating that takes place between the tricks.
Some of what is important about the actual skating should be easily measurable, but other aspects are more complex and perhaps inherently more subjective than the kinds of questions relevant to execution of the tricks.
And then the performance aspect his still relevant to both sports in ways that this article acknowledges gymnastics AI does not capture.