WhichFingers: Identifying Fingers on Touch Surfaces and Keyboards using Vibration Sensors

Damien Masson 1, 2 Alix Goguey 1, 3 Sylvain Malacria 1 Géry Casiez 2, 1
1 MJOLNIR - Computing tools to empower users
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : HCI researchers lack low-latency and robust systems to support the design and development of interaction techniques using finger identification. We developed a low-cost prototype using piezo-based vibration sensors attached to each finger. By combining the events from an input device with the information from the vibration sensors we demonstrate how to achieve low-latency and robust finger identification. Our prototype was evaluated in a controlled experiment, using two keyboards and a touchpad, showing single-touch recognition rates of 98.2% for the keyboard and 99.7% for the touch-pad, and 94.7% for two simultaneous touches. These results were confirmed in an additional laboratory-style experiment with ecologically valid tasks. Last we present new interaction techniques made possible using this technology.
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Communication dans un congrès
UIST 2017 - 30th ACM Symposium on User Interface Software and Technology, Oct 2017, Québec, Canada. pp.8, 〈10.1145/3126594.3126619〉
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Contributeur : Sylvain Malacria <>
Soumis le : mercredi 4 octobre 2017 - 11:24:22
Dernière modification le : vendredi 6 octobre 2017 - 09:55:04

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Damien Masson, Alix Goguey, Sylvain Malacria, Géry Casiez. WhichFingers: Identifying Fingers on Touch Surfaces and Keyboards using Vibration Sensors. UIST 2017 - 30th ACM Symposium on User Interface Software and Technology, Oct 2017, Québec, Canada. pp.8, 〈10.1145/3126594.3126619〉. 〈hal-01609943〉

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