The discussions about Miki3's problem zones made me think again about the JCMs.

I have used the P8 teaching tool to apply JCM's, but still the possibilities are very limited.

So I was thinking this: Why not pose the body part and make JCMs for the difficult positions where the rigging is not ok.

Record these positions with the proper JCM settings that make a good look.

Then, teach a magic box about the JCMs and in which position they are good.

e.g. bend 0, side-side 0 => no jcm

bend 45, side-side 0 => use jcm_b45_ss_0

bend 45, side_side 45 => use jcm_b45_ss_45

Instead of recording these as ERC parameters (which is a total pain), these are just recorded into the figure as a list.

A python script would read the current pose, and evaluate JCM settings based according to this list.  The closer the local body part is to a known good solution (the recorded list), the more influence this solution has.

The various solutions are interpolated accordingly to their distance from the current pose.

This would overcome that linear system, that almost noone can properly program.

Any opinions? It could be programmed with acceptable effort.