Recognize multi-touch gestures by graph modeling and matching

Zhaoxin Chen 1 Eric Anquetil 1 Harold Mouchère 2 Christian Viard-Gaudin 2
1 INSA Rennes - Institut National des Sciences Appliquées - Rennes
2 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
Abstract : Extract the features for a multi-touch gesture is difficult due to the complex temporal and motion relations between multiple trajectories. In this paper we present a new generic graph model to quantify the shape, temporal and motion information from multi-touch gesture. To make a comparison between graph, we also propose a specific graph matching method based on graph edit distance. Results prove that our graph model can be fruitfully used for multi-touch gesture pattern recognition purpose with the classifier of graph embedding and SVM.
Keywords : multi-touch SVM
Type de document :
Communication dans un congrès
Céline Rémi; Lionel Prévost; Eric Anquetil. 17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. 2015, Drawing, Handwriting Processing Analysis: New Advances and Challenges
Liste complète des métadonnées

Littérature citée [10 références]  Voir  Masquer  Télécharger
https://hal.univ-antilles.fr/hal-01165768
Contributeur : Philippe Simon <>
Soumis le : samedi 20 juin 2015 - 00:58:24
Dernière modification le : mercredi 16 mai 2018 - 11:48:03
Document(s) archivé(s) le : mardi 15 septembre 2015 - 19:46:28

Fichier

IGS_2015_submission_6.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01165768, version 1

Collections

IGS2015 | UNIV-NANTES | IRCCYN | UNAM | IRISA | IRISA-INSA-R | UR1-UFR-ISTIC | IVC-IPI | UNIV-RENNES

Citation

Zhaoxin Chen, Eric Anquetil, Harold Mouchère, Christian Viard-Gaudin. Recognize multi-touch gestures by graph modeling and matching. Céline Rémi; Lionel Prévost; Eric Anquetil. 17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. 2015, Drawing, Handwriting Processing Analysis: New Advances and Challenges. 〈hal-01165768〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

429

Téléchargements de fichiers

134

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD