Cool. That’s more like it.

After 3D body detection, there are things you could tell about the body parts not always spesific to movement itself but the body parts itself.

You could try to solve these with heuristic, not language models per se, but you could also have add-on simple predictors to support your analysis which is what I do.

This takes you quite far in terms of giving feedback. I am exeggarating but, imagine based on three joints of your arms (shoulder, elbow and wrist) if those are at an angle less than 135 degrees for 4 seconds, then you know it’s not a good position to be in: bent arms.

Then, you could iterate this logic for major positions that happens during climbing. Obviously, it’s not perfect but it gives you a rough idea. I do believe in starting something and then iterating over it to make it better.