Degree Type
Thesis
Date of Award
2010
Degree Name
Master of Science
Department
Electrical and Computer Engineering
First Advisor
Daji Qiao
Abstract
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.
DOI
https://doi.org/10.31274/etd-180810-949
Copyright Owner
Prasad Ramanahally Siddalinga
Copyright Date
2010
Language
en
Date Available
2012-04-30
File Format
application/pdf
File Size
55 pages
Recommended Citation
Ramanahally Siddalinga, Prasad, "Sensor Augmented Large Interactive Surfaces" (2010). Graduate Theses and Dissertations. 11735.
https://lib.dr.iastate.edu/etd/11735
