Thumbs Up: 3D Gesture Input on Mobile Phones Using the Front Facing Camera
Autor: | Beryl Plimmer, Paul Schmieder, Andrew Luxton-Reilly, John Hosking |
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Přispěvatelé: | University of Auckland [Auckland], Australian National University (ANU), Paula Kotzé, Gary Marsden, Gitte Lindgaard, Janet Wesson, Marco Winckler, TC 13 |
Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: |
Modality (human–computer interaction)
business.industry Computer science InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) User satisfaction 020207 software engineering 02 engineering and technology Motion gestures mobile interaction image recognition Gesture recognition 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision [INFO]Computer Science [cs] Artificial intelligence business Mobile interaction Gesture Front (military) |
Zdroj: | Lecture Notes in Computer Science 14th International Conference on Human-Computer Interaction (INTERACT) 14th International Conference on Human-Computer Interaction (INTERACT), Sep 2013, Cape Town, South Africa. pp.318-336, ⟨10.1007/978-3-642-40480-1_20⟩ Human-Computer Interaction – INTERACT 2013 ISBN: 9783642404795 INTERACT (2) |
Popis: | Part 7: Gesture-Based User Interface Design and Interaction II; International audience; We use the front facing camera in a smart phone to capture gesture input. Thumb gestures performed above the camera are recognized and used to invoke commands. In contrast to other input modalities the camera requires no device movements and no valuable screen space is used. To be viable, this type of interaction requires gestures which are comfortable and memorable for the user and real-time accurate recognition of those gestures. Given the performance constraints of phones and their cameras we needed to determine whether accurate and reliable recognition is possible and identify types of gestures that are recognizable and user appropriate. As a proof of concept, we conducted a user study testing three gestures for performance and user satisfaction. The results demonstrate that the 3D gestural input is successful and we provide detailed insights into successful recognition strategies for this novel interaction modality. |
Databáze: | OpenAIRE |
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