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Conference papers
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 :
multi-touch
SVM
Cited literature [10 references]
https://hal.univ-antilles.fr/hal-01165768
Contributor : Philippe Simon <>
Submitted on : Saturday, June 20, 2015 - 12:58:24 AM
Last modification on : Thursday, January 7, 2021 - 4:34:09 PM
Long-term archiving on: : Tuesday, September 15, 2015 - 7:46:28 PM
Contributor : Philippe Simon <>
Submitted on : Saturday, June 20, 2015 - 12:58:24 AM
Last modification on : Thursday, January 7, 2021 - 4:34:09 PM
Long-term archiving on: : Tuesday, September 15, 2015 - 7:46:28 PM
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IGS_2015_submission_6.pdf
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