I am currently working on a system for robust hand detection.
The first step is to take a photo of the hand (in HSV color space) with the hand placed in a small rect
Well my experience with the skin modeling are bad, because: 1) lightning can vary - skin segmentation is not robust 2) it will mark your face also (as other skin-like objects)
I would use machine learning techniques like Haar training, which, in my opinion, if far more better approach than modeling and fixing some constraints (like skin detection + thresholding...)