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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.
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https://hal.archives-ouvertes.fr/hal-01243992
Contributor : Zhaoxin Chen <>
Submitted on : Friday, December 18, 2015 - 9:07:35 AM
Last modification on : Friday, March 6, 2020 - 4:32:02 PM
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  • HAL Id : hal-01243992, version 1

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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⟩

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