Éditeur(s) : HAL CCSD
Résumé : International audience
We propose in this paper a new online Multi-UserMulti-Touch handwritten diagram DataBase (MUMTDB) forevaluating recognition systems under the multi-user situation.The data is collected according to two predefined mind mapscenarios which contains 9 classes of graphical symbols. Eachscenario is completed by involving two users at the same time.Since the users are given freedom to draw the symbols asthey want, the dataset contains a diversity of multi-stroke andeven multi-touch symbols. It allows addressing new challengingproblems regarding the recognition of simultaneous composition of structured documents. The dataset is freely availableon-line.
International Conference on Frontiers in Handwriting Recognition (ICFHR)
Shenzhen, China

hal-01374376
https://hal.univ-antilles.fr/hal-01374376

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