ShoeSense: A New Perspective on Hand Gestures and Wearable Applications

Abstract : When the user is engaged with a real-world task it can be inappropriate or difficult to use a smartphone. To address this concern, we developed ShoeSense, a wearable system consisting in part of a shoe-mounted depth sensor pointing upward at the wearer. ShoeSense recognizes relaxed and discreet as well as large and demonstrative hand gestures. In particular, we designed three gesture sets (Triangle, Radial, and Finger-Count) for this setup, which can be performed without visual attention. The advantages of ShoeSense are illustrated in five scenarios: (1) quickly performing frequent operations without reaching for the phone, (2) discreetly performing operations without disturbing others, (3) enhancing operations on mobile devices, (4) supporting accessibility, and (5) artistic performances. We present a proof-of-concept, wearable implementation based on a depth camera and report on a lab study comparing social acceptability, physical and mental demand, and user preference. A second study demonstrates a 94-99% recognition rate of our recognizers.
Type de document :
Communication dans un congrès
the 2012 ACM annual conference, May 2012, Austin, United States. ACM Press, CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 〈10.1145/2207676.2208576〉
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Contributeur : Gilles Bailly <>
Soumis le : vendredi 23 novembre 2018 - 11:29:05
Dernière modification le : mardi 11 décembre 2018 - 01:23:14

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Gilles Bailly, Jörg Müller, Michael Rohs, Daniel Wigdor, Sven Kratz. ShoeSense: A New Perspective on Hand Gestures and Wearable Applications. the 2012 ACM annual conference, May 2012, Austin, United States. ACM Press, CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 〈10.1145/2207676.2208576〉. 〈hal-01894218〉

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