Date of Award
Master of Science
Electrical and Computer Engineering
Large interactive surfaces enable effective multi-user collaboration, but a majority of the current multi-touch systems are not truly multi-user. In this work we present a novel sensor-based approach for both user identification around a touch table and integration of unique gestures above the table. The work proposes the criteria for a successful and robust user identification system. The Cricket sensor based user identification system is integrated with an open source gesture recognition system "Sparsh-UI" to enable rapid multi-touch application development. Finally we evaluate the Cricket-based algorithm with contemporary multi-user, multi-touch systems and describe the various interaction affordances provided by the Cricket based user identification system.
Prasad Ramanahally Siddalinga
Ramanahally Siddalinga, Prasad, "Sensor Augmented Large Interactive Surfaces" (2010). Graduate Theses and Dissertations. 11735.