Éditeur(s) :
HAL CCSD Résumé : International audience
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.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe
hal-01165768
https://hal.univ-antilles.fr/hal-01165768 https://hal.univ-antilles.fr/hal-01165768/document https://hal.univ-antilles.fr/hal-01165768/file/IGS_2015_submission_6.pdf