Recognize multi-touch gestures by graph modeling and matching - Université des Antilles Access content directly
Conference Papers Year : 2015

Recognize multi-touch gestures by graph modeling and matching

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

Fichier principal
Vignette du fichier
IGS_2015_submission_6.pdf (696.56 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01165768 , version 1 (20-06-2015)

Identifiers

  • HAL Id : hal-01165768 , version 1

Cite

Zhaoxin Chen, Eric Anquetil, Harold Mouchère, Christian Viard-Gaudin. Recognize multi-touch gestures by graph modeling and matching. 17th Biennial Conference of the International Graphonomics Society, International Graphonomics Society (IGS); Université des Antilles (UA), Jun 2015, Pointe-à-Pitre, Guadeloupe. ⟨hal-01165768⟩
395 View
199 Download

Share

Gmail Facebook X LinkedIn More