But the logic to convert gesture to control signals is all Vectron, and uses a k -nearest neighbor algorithm executed in 6502 assembly.

And one definitely does not think of gesture recognition running on a homebrew breadboard version of a 6502 machine, and yet that’s exactly what [Nick Bild] has accomplished.

Hand gesture recognition algorithm combining hand-type adaptive algorithm and effective-area ratio for efficient edge computing. Journal of Electronic Imaging, 2021; 30 (06) DOI: 10.1117/1.JEI.30. ...

Zhang, Q., et al. (2021) Hand gesture recognition algorithm combining hand-type adaptive algorithm and effective-area ratio for efficient edge computing.

It's easy to focus on the cool hardware tech in gesture recognition systems, but much of the real magic is in the sotware -- which makes the most of state of the art machine-learning algorithms.