Match-Up & Conquer: A Two-Step Technique for Recognizing Unconstrained Bimanual and Multi-Finger Touch Input

Yosra Rekik 1, * Radu-Daniel Vatavu 2 Laurent Grisoni 1
* Auteur correspondant
1 MINT2 - Méthodes et outils pour l'Interaction à gestes
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : We present a simple, two-step technique for recognizing multi- touch gesture input that is invariant to how users articulate gestures, i.e., by using one or two hands, one or multiple fingers, one or multiple strokes, synchronous or asynchronous stroke input. We introduce, for the first time in the gesture literature, a preprocessing step that is specific to multi-touch gestures (Match-Up) that clusters together similar strokes produced by different fingers, before running a gesture recognizer (Conquer). We report gains in recognition accuracy up to 10% leveraged by our new preprocessing step, which manages to construct a more adequate representation of multi-touch gestures in terms of key strokes. It is our hope that the Match-Up technique will add to the practitioners' toolkit of gesture preprocessing techniques, as a first step toward filling today's lack of algorithmic knowledge to process multi-touch input and leading toward the design of more efficient and accurate recognizers for touch surfaces.
Type de document :
Communication dans un congrès
AVI 2014, the 12th International Working Conference on Advanced Visual Interfaces, May 2014, Como, Italy. pp. 201-208, 2014, 〈10.1145/2598153.2598167〉
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https://hal.inria.fr/hal-00991940
Contributeur : Yosra Rekik <>
Soumis le : vendredi 16 mai 2014 - 10:46:28
Dernière modification le : jeudi 11 janvier 2018 - 06:27:32

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Yosra Rekik, Radu-Daniel Vatavu, Laurent Grisoni. Match-Up & Conquer: A Two-Step Technique for Recognizing Unconstrained Bimanual and Multi-Finger Touch Input. AVI 2014, the 12th International Working Conference on Advanced Visual Interfaces, May 2014, Como, Italy. pp. 201-208, 2014, 〈10.1145/2598153.2598167〉. 〈hal-00991940〉

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