Multimodal user interfaces in the Open Agent Architecture
Proceedings of the 2nd international conference on Intelligent user interfaces
MVIEWS: multimodal tools for the video analyst
IUI '98 Proceedings of the 3rd international conference on Intelligent user interfaces
Towards a computational model of sketching
Proceedings of the 6th international conference on Intelligent user interfaces
User Interfaces for On-Line Diagram Recognition
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
EMCE: A Multimodal Environment Augmenting Conferencing Experiences
AUIC '00 Proceedings of the First Australasian User Interface Conference
Modality fusion for graphic design applications
Proceedings of the 6th international conference on Multimodal interfaces
Appearance-preserving manipulation of hand-drawn graphs
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
VoicePen: augmenting pen input with simultaneous non-linguisitic vocalization
Proceedings of the 9th international conference on Multimodal interfaces
Enhancing input on and above the interactive surface with muscle sensing
Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces
Onomatopen: painting using onomatopoeia
ICEC'10 Proceedings of the 9th international conference on Entertainment computing
A practical framework for constructing structured drawings
Proceedings of the 19th international conference on Intelligent User Interfaces
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The paper presents the algorithms for recognition and beautification which are used in incremental graphic design applications. These applications propose multimodal interfaces integrating handwriting, gesture, and speech on a pen-computer. User and computer collaborate to perform the task of incrementally designing a drawing. Processing and data representation take into account the variable quality of handwritten data, the man-machine interaction context and the cooperation between the user and the interpretation system. Both recognition algorithms may be used in combination in order to increase the speed and the set of recognized figures. Local recognition is followed by the beautification of the global structure in order to detect alignments and logical structures. The beautification enables the user to display a clean version of the original draft. The applications which the authors developed are used to recognize tables, gestures, geometrical figures or diagram networks.