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

Masson, Damien; Goguey, Alix; Malacria, Sylvain; Casiez, Géry

Document type :

Communication dans un congrès avec actes

DOI :

10.1145/3126594.3126619

Title :

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

Author(s) :

Masson, Damien [Auteur]
Université Lille Nord (France)
Computing tools to empower users [MJOLNIR]
Goguey, Alix [Auteur]
University of Saskatchewan [Saskatoon] [U of S]
Computing tools to empower users [MJOLNIR]
Malacria, Sylvain [Auteur]

Computing tools to empower users [MJOLNIR]
Casiez, Géry [Auteur]

Computing tools to empower users [MJOLNIR]
Université Lille Nord (France)

Conference title :

UIST 2017 - 30th ACM Symposium on User Interface Software and Technology

City :

Québec

Country :

Canada

Start date of the conference :

2017-10-22

English keyword(s) :

finger identification
touch interaction
vibration sensor

HAL domain(s) :

Informatique [cs]/Interface homme-machine [cs.HC]

English abstract : [en]

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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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https://hal.archives-ouvertes.fr/hal-01609943/document
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https://hal.archives-ouvertes.fr/hal-01609943/document
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WhichFingers: Identifying Fingers on Touch ...

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