Thracker - Using Capacitive Sensing for Gesture Recognition

Authors:
Raphael Wimmer;Paul Holleis;Matthias Kranz;Albrecht Schmidt
Affiliations:
University of Munich, Germany;University of Munich, Germany;University of Munich, Germany;University of Munich, Germany
Venue:
ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
Year:
2006

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Abstract

In this paper we present Thracker - a low-cost and robust hardware to track hand gestures in front of a screen or small-scale active spaces like public displays or posters. Thracker uses capacitive sensing for tracking user input. Thracker allows for entire new interaction modes like picking and dropping an object on the screen with the hand. We present a fully working prototype and a short user study to confirm our findings.