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Move or Natal: MIT does it cheaper!
While everyone is still wondering about Move and Natal pricing, MIT researchers have created motion tech that will cost you one dollar and a webcam!
Robert Wang, a graduate student in the Computer Science and Artificial Intelligence Laboratory, and Jovan Popović, an associate professor of electrical engineering and computer science at MIT, have created a new algorithm that uses a webcam and multi-colored Lycra gloves (see pic) to allow 3D motion control tracking.
Here's how it works:
The only slight downpoint of the technology would be that it uses hundreds of megabytes of memory for the database of 40-by-40 color images, but with just about every ordinary computer being equipped with multiple gigabytes of RAM, that shouldn't be much of an issue.
And the gloves aren't the last thing we'll be seeing from MIT. They're already working on full body motion control:
Hit the link to check out the full article along with a trailer that shows the technology in action!
Robert Wang, a graduate student in the Computer Science and Artificial Intelligence Laboratory, and Jovan Popović, an associate professor of electrical engineering and computer science at MIT, have created a new algorithm that uses a webcam and multi-colored Lycra gloves (see pic) to allow 3D motion control tracking.
Here's how it works:
Once a webcam has captured an image of the glove, Wang’s software crops out the background, so that the glove alone is superimposed upon a white background. Then the software drastically reduces the resolution of the cropped image, to only 40 pixels by 40 pixels.
Finally, it searches through a database containing myriad 40-by-40 digital models of a hand, clad in the distinctive glove, in a range of different positions. Once it’s found a match, it simply looks up the corresponding hand position.
Early versions of the software took about half an hour to calibrate, but the most recent updates have brought that time down to only three seconds.Finally, it searches through a database containing myriad 40-by-40 digital models of a hand, clad in the distinctive glove, in a range of different positions. Once it’s found a match, it simply looks up the corresponding hand position.
The only slight downpoint of the technology would be that it uses hundreds of megabytes of memory for the database of 40-by-40 color images, but with just about every ordinary computer being equipped with multiple gigabytes of RAM, that shouldn't be much of an issue.
And the gloves aren't the last thing we'll be seeing from MIT. They're already working on full body motion control:
Now that the glove tracking is working well, however, he’s expanding on the idea, with the design of similarly patterned shirts that can be used to capture information about whole-body motion. Such systems are already commonly used to evaluate athletes’ form or to convert actors’ live performances into digital animations, but a system based on Wang and Popović’s technique could prove dramatically cheaper and easier to use
T-shirts and gloves along with a webcam? Sounds a lot cheaper than Natal or Move!Hit the link to check out the full article along with a trailer that shows the technology in action!
In other news:





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