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Bootstrapper: Recognizing Tabletop Users by their Shoes

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Uploaded on Jan 11, 2012

Bootstrapper enables personalized functionality on tabletop systems by distinguishing users' shoes. Bootstrapper uses a Kinect depth camera mounted to the edge of the table and identifies users by matching camera images with a database of known shoe images. When multiple users interact, Bootstrapper associates touches with shoes based on hand and arm orientation.

More info at http://www.hpi.uni-potsdam.de/baudisc...

Bootstrapper is a research project by
Stephan Richter
Christian Holz, http://www.christianholz.net
Patrick Baudisch, http://www.patrickbaudisch.com
Hasso Plattner Institute, Germany

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