A graph modeling strategy for multi-touch gesture recognition

Zhaoxin Chen 1, 2, 3 Eric Anquetil 1, 3 Harold Mouchère 2 Christian Viard-Gaudin 2
1 IntuiDoc - intuitive user interaction for document
IRISA-D6 - MEDIA ET INTERACTIONS
2 irccyn-ivc
IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
Abstract : In most applications of touch based humancomputer interaction, multi-touch gestures are used for directlymanipulating the interface such as scaling, panning, etc. In thispaper, we propose using multi-touch gesture as indirectcommand, such as redo, undo, erase, etc., for the operatingsystem. The proposed recognition system is guided by temporal,spatial and shape information. This is achieved using a graphembedding approach where all previous information are used.We evaluated our multi-touch recognition system on a set of 18different multi-touch gestures. With this graph embeddingmethod and a SVM classifier, we achieve 94.50% recognition rate.We believe that our research points out a possibility ofintegrating together raw ink, direct manipulation and indirectcommand in many gesture-based complex application such as asketch drawing application.
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Communication dans un congrès
14th International Conference on Frontiers in Handwriting Recognition (ICFHR-2014), Sep 2014, Crete island, Greece
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https://hal.inria.fr/hal-01088774
Contributeur : Zhaoxin Chen <>
Soumis le : vendredi 28 novembre 2014 - 16:11:45
Dernière modification le : jeudi 15 novembre 2018 - 11:57:51
Document(s) archivé(s) le : vendredi 14 avril 2017 - 23:09:36

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  • HAL Id : hal-01088774, version 1

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Zhaoxin Chen, Eric Anquetil, Harold Mouchère, Christian Viard-Gaudin. A graph modeling strategy for multi-touch gesture recognition. 14th International Conference on Frontiers in Handwriting Recognition (ICFHR-2014), Sep 2014, Crete island, Greece. 〈hal-01088774〉

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