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.
https://hal.archives-ouvertes.fr/hal-01243992 Contributor : Zhaoxin ChenConnect in order to contact the contributor Submitted on : Friday, December 18, 2015 - 9:07:35 AM Last modification on : Wednesday, April 27, 2022 - 4:56:56 AM Long-term archiving on: : Saturday, March 19, 2016 - 10:31:43 AM
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, Jun 2015, Pointe-à-Pitre, France. ⟨hal-01243992⟩