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The little characters in the game will show happiness when they have done well (jumping up, or doing flips, or sliding belly down on the ice) or look sad when they have failed a task.

such as swinging a baseball bat, or hitting a golf ball. The menu navigation, though, is easy and the game may require a wide range of movements, from ducking to jumping (in basketball, particularly) to moving from side to side.

But trying to differentiate by some image recognition would be tough.

Imagine - the system would have to tell that a man in a long trenchcoat with long hair is a man, and a woman with one of those women's flattop's wearing a bulky sweatshirt and jeans is a woman, that a cowboy hat isn't long hair - it seems very difficult to do by any sort of rule system.

These 3-D images allow for much more detailed analysis after the fact, without needing to disturb the physical artifacts, and could even enable more insight into the mind of the person who created them long ago.

Calit2 has a solution perfect for this too: Star CAVE, which is an immersive 3-D virtual reality system.

Thus far the Calit Kinect hack uses an overhead video tracking device to do this, which limits it for indoor use–a tweak is already planned to let it work in an outdoors settings, however, and its inventor thinks it could even be used to scan whole buildings (at which point Google, with its penchant for doing this inaccurately for its Street View system, may get interested).

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" / is based on scoring the most points in the individual skill challenges, or beating your opponent in the multiplayer setting.A 3-D model of the dig site as it progresses also allows for faster and more accurate tracking of where physical structures and artifacts were located.The Kinect system, as well as being cheaper and simpler than a LIDAR installation, is in some sense better suited for the dig environment: It’s much less expensive, so accidental damage won’t be such a pain, and its handheld nature means it’s easier to use when stumbling around among soil and rocks.As the Kinect has a built in mic, you may wish to explore that idea. v=T-Pb_M3my Aw From what i've read it looks like it uses a combination of facial recognition and voice recognition.You will probably need to use machine learning to get accurate results It's not exposed by any SDK's that I've touched.

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