WhichFingers: Identifying Fingers on Touch ...
Type de document :
Communication dans un congrès avec actes
DOI :
Titre :
WhichFingers: Identifying Fingers on Touch Surfaces and Keyboards using Vibration Sensors
Auteur(s) :
Masson, Damien [Auteur]
Computing tools to empower users [MJOLNIR]
Université Lille Nord (France)
Goguey, Alix [Auteur]
Computing tools to empower users [MJOLNIR]
University of Saskatchewan [Saskatoon, Canada] [U of S]
Malacria, Sylvain [Auteur]
Computing tools to empower users [MJOLNIR]
Casiez, Géry [Auteur]
Université Lille Nord (France)
Computing tools to empower users [MJOLNIR]
Computing tools to empower users [MJOLNIR]
Université Lille Nord (France)
Goguey, Alix [Auteur]
Computing tools to empower users [MJOLNIR]
University of Saskatchewan [Saskatoon, Canada] [U of S]
Malacria, Sylvain [Auteur]
Computing tools to empower users [MJOLNIR]
Casiez, Géry [Auteur]
Université Lille Nord (France)
Computing tools to empower users [MJOLNIR]
Titre de la manifestation scientifique :
UIST 2017 - 30th ACM Symposium on User Interface Software and Technology
Ville :
Québec
Pays :
Canada
Date de début de la manifestation scientifique :
2017-10-22
Mot(s)-clé(s) en anglais :
finger identification
touch interaction
vibration sensor
touch interaction
vibration sensor
Discipline(s) HAL :
Informatique [cs]/Interface homme-machine [cs.HC]
Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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