I really wonder how this compares to the LeapMotion tracking. My suspicion is that the leap tracking is now hardened by years of real world experience, so it's probably ahead of anything that's still in the R&D stage. But hard to know without testing it.
This article doesn't actual mention anywhere but it implies it's doing all this with a regular camera. LeapMotion and others use more complex sensors. The ML approach is really impressive but getting clearer input would seem to be a more reliable approach.
The LeapMotion actually use ultrasonics for measurements and then guesses to translate that to hand-tracking. Doing it fully from a camera may actually improve on it if done right.
