DocumentCode :
3068199
Title :
Disoriented pen-gestures for identifying users around the tabletop without cameras and motion sensors
Author :
Mohamed, K.A. ; Haag, S. ; Peltason, J. ; Dal-Ri, F. ; Ottmann, Th
Author_Institution :
Inst. fur Informatik, Albert-Ludwigs-Univ. Freiburg, Germany
fYear :
2006
fDate :
5-7 Jan. 2006
Abstract :
We present an effective corollary from our works in pen gesture technologies, originally intended for conventional digital screen environments, that gives significant influence when expanded into the domain of tabletop displays. By virtue of incorporating angular and velocity type "trace features" for pen gesture cognition into current classical linear classifiers, we are able to place a greater emphasis not on the similarity of the "visual representation" of the gestures, but rather, on determining exactly from which corners of the table the gestures were conceived. In other words, we can find out which one of the four users around the table is interfacing with the tabletop display at any particular time, and do this without the need for additional sensing paraphernalia. We illustrate this inception by discussing our treatment of "disoriented" pen gestures with our version of a \´manual\´ Monopoly board game for the tabletop.
Keywords :
gesture recognition; digital screen environment; disoriented pen gesture technology; gesture visual representation; linear classifier; pen gesture cognition; tabletop corner; tabletop display interface; trace feature; user identification; Cognition; Collaborative work; Computer networks; Digital cameras; Displays; Guidelines; Hardware; Intelligent sensors; Monopoly; Stress; Disorientation; pen features; pen gestures; tabletop corners.;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Horizontal Interactive Human-Computer Systems, 2006. TableTop 2006. First IEEE International Workshop on
Print_ISBN :
0-7695-2494-X
Type :
conf
DOI :
10.1109/TABLETOP.2006.11
Filename :
1579189
Link To Document :
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