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Trainable Sketch Recognizer for Graphical User Interface Design.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Pandu Rangan, C.
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Baranauskas, Cécilia
Palanque, Philippe
Abascal, Julio
Barbosa, Simone Diniz Junqueira
Coyette, Adrien
Source :
Human-Computer Interaction - INTERACT 2007; 2007, p124-135, 12p
Publication Year :
2007

Abstract

In this paper we present a new algorithm for automatic recognition of hand drawn sketches based on the Levenshtein distance. The purpose for drawing sketches in our application is to create graphical user interfaces in a similar manner as the well established paper sketching. The new algorithm is trainable by every user and improves the recognition performance of the techniques which were used before for widget recognition. In addition, this algorithm ay serve for recognizing other types of sketches, such as letters, figures, and commands. In this way, there is no modality disruption at sketching time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540747949
Database :
Complementary Index
Journal :
Human-Computer Interaction - INTERACT 2007
Publication Type :
Book
Accession number :
33153513
Full Text :
https://doi.org/10.1007/978-3-540-74796-3_14