| MDMAniac said: @ WereKitten Thank you for handwriting recognition example! Now I can re-state my question in much simpler way using this metaphor. So, if we say that Natal learned letters from A to Z, then I wonder what if some designer have crazy idea where he needs something like a drow house glyph, will Natal "alphabet" be enough? ... |
Well, we don't know yet how much comprehensive the "training" has been for Natal's software. We have to hope that they gave it a very good coverage of the "human poses" alphabet. But as I said, there's an extra ace up the sleeve, that is knowledge about kinetic limitations of human body parts.
Even if you have to strike a really weird pose, you will have to get there from a normal one through intermediate, less weird poses. The software might be able to provide a good interpretation of the sensor's input just by extrapolating previous data of body parts' positions and speeds. I suppose that's what it will do not only when a limb is occluded from sight, but also when it has a very low matching score for what it sees.
It's an interesting problem, I guess we'll have to wait and see. I'm sure it will have plenty of quirks, my previous post was just meant to expand on the a priori knowledge base topic.
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