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That's interesting. So I gather that the camera images the fiber bundle and does some kind of image analysis to determine where the touch is occurring. Correct?

If so, and since this project is from back in 2011, I wonder how a decade's advances in machine learning would improve whatever you're using to analyze the image.

Thanks. Because the input is relatively clean and organized, an opencv is enough to get the pressure points by pixel position. 

We can use a similar approach to get the articulations 3D position too, but without a sponge and using RGB led colors and one fiber optic per joint.

I will make a new post for the articulation 3D position and will add details on this current post too.