Recognize multi-touch gestures by graph modeling and matching

Zhaoxin Chen; Eric Anquetil; Harold Mouchère; Christian Viard-Gaudin

Recognize multi-touch gestures by graph modeling and matching

Zhaoxin Chen ¹ Eric Anquetil ¹ Harold Mouchère ² Christian Viard-Gaudin ²

1 INSA Rennes - Institut National des Sciences Appliquées - Rennes

2 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes

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

Document type :

Conference papers

Domain :

Computer Science [cs]

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https://hal.univ-antilles.fr/hal-01165768
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Submitted on : Saturday, June 20, 2015 - 12:58:24 AM
Last modification on : Thursday, February 7, 2019 - 2:20:49 PM
Long-term archiving on : Tuesday, September 15, 2015 - 7:46:28 PM

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