![]() ![]() ![]() An article in Popular Science describes the four steps Kinect's "brain" goes through 30 times per second to read and respond to your movements. With select data, developers were able to teach the system to classify the skeletal movements of each model, emphasizing the joints and distances between those joints. Ultimately, the developers were able to map the data to models representing people of different ages, body types, genders and clothing. Then, they processed that data using a machine-learning algorithm by Jamie Shotton, a researcher at Microsoft Research Cambridge in England. To start the teaching process, Kinect developers gathered massive amounts of data from motion-capture in real-life scenarios.
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