MTGSetB – 46 classes,\u00a0<\/strong>regrouped into 31 rotation-independant classes<\/b><\/span><\/p>\n The MTG dataset is divided into two parts :<\/p>\n MTGSetA<\/strong> :<\/p>\n MTGSetB<\/strong> :<\/p>\n The database can be downloaded here (10Mo)<\/a><\/p>\n For any question, please contact Eric Anquetil.<\/a><\/p>\n This database can be used freely for research purpose. However, for any published work utilizing this database, please mention a reference to the following paper.<\/p>\n MTGSetA<\/strong> :<\/p>\n Zhaoxin Chen, Eric Anquetil, Harold Mouch\u00e8re, Christian Viard-Gaudin. A graph modeling strategy for multi-touch gesture recognition. 14th International Conference on Frontiers in Handwriting Recognition (ICFHR-2014), Sep 2014, Crete island, Greece<\/p>\n MTGSetB<\/strong> :<\/p>\n Zhaoxin Chen, Eric Anquetil, Harold Mouch\u00e8re, Christian Viard-Gaudin. Recognize multi-touch gestures by graph modeling and matching. 17th Biennial Conference of the International Graphonomics Society, International Graphonomics Society (IGS); Universit\u00e9 des Antilles (UA), Jun 2015, Pointe-\u00e0-Pitre, Guadeloupe.<\/p>","protected":false},"excerpt":{"rendered":"<\/p>\n MTG dataset (for Multi-Touch Gestures)<\/p>\n MTGSetA contains 18 multi-touch gestures.<\/p>\n MTGSetB consists of 31 classes, with 27 multi-touch gestures and 4 multi-stroke mono-touch gesture<\/p>\n MTGSetA – 18 classes <\/p>\n <\/a><\/p>\n MTGSetB – 46 classes,\u00a0regrouped into 31 rotation-independant classes<\/p>\n <\/a><\/a> Gestures available in MTG <\/p>\n The MTG dataset is divided into two … <\/p>\n![\"\"](\"https:\/\/www-intuidoc.irisa.fr\/files\/2021\/02\/MTGsetA.jpg\")
<\/a><\/p>\n<\/a><\/a><\/td>\n<\/tr>\n\n Gestures available in MTG<\/i><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Specifications<\/h3>\n
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Download<\/h3>\n
Contact<\/h3>\n
References<\/h3>\n
Presentation<\/h3>\n
Specifications<\/h3>\n<\/p>\n
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