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EUROGRAPHICS Symposium on Sketch-Based Interfaces and Modeling (2009) C. Grimm and J. J. LaViola Jr. (Editors)
 

Summary: EUROGRAPHICS Symposium on Sketch-Based Interfaces and Modeling (2009)
C. Grimm and J. J. LaViola Jr. (Editors)
The Effect of Task on Classification Accuracy: Using Gesture
Recognition Techniques in Free-Sketch Recognition
Martin Field1
, Sam Gordon1
, Eric Peterson2
, Raquel Robinson1
, Thomas Stahovich2
, Christine Alvarado1
1Harvey Mudd College, Claremont, CA
2University of California, Riverside
Abstract
Generating, grouping, and labeling free-sketch data is a difficult and time-consuming task for both user study
participants and researchers. To simplify this process for both parties, we would like to have users draw isolated
shapes instead of complete sketches that must be hand-labeled and grouped, and then use this data to train our
free-sketch symbol recognizer. However, it is an open question whether shapes draw in isolation accurately reflect
the way users draw shapes in a complete diagram. Furthermore, many of the simplest shape recognition algo-
rithms were designed to recognize gestures, and it is not clear that they will generalize to freely-drawn shapes.
To answer these questions, we perform experiments using three different recognizers to measure the effect of the

  

Source: Alvarado, Christine - Computer Science Department, Harvey Mudd College

 

Collections: Computer Technologies and Information Sciences