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      RATA: Codeless Generation of Gesture Recognizers

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      The 26th BCS Conference on Human Computer Interaction (HCI)

      Human Computer Interaction

      12 - 14 September 2012

      Gesture based interaction, gesture recognition

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            Abstract

            Touch and stylus sensitive computer displays are widely available. Yet, the development of gesture sets to support these interaction methods continues to be difficult. We present RATA, a tool for interaction designers and software developers to create gesture recognizers for novel and custom gesture sets. Guided by the RATA wizard, the developer: defines their gesture set; collects example gestures; labels them with the support of an auto labeller; and generates the recognizer model file – no coding or expert knowledge of recognizers is required. Incorporating the recognizer into a program requires just two lines of code. Our evaluations show high user satisfaction and that novice software developers can design a customized gesture set and generate a recognizer in about 20 minutes.

            Content

            Author and article information

            Contributors
            Conference
            September 2012
            September 2012
            : 137-146
            Affiliations
            [0001]Department of Computer Science

            University of Auckland
            Article
            10.14236/ewic/HCI2012.19
            53a9d53f-365d-4e27-aa24-126ff45c7adc
            © Beryl Plimmer et al. Published by BCS Learning and Development Ltd. The 26th BCS Conference on Human Computer Interaction, Birmingham, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            The 26th BCS Conference on Human Computer Interaction
            HCI
            26
            Birmingham, UK
            12 - 14 September 2012
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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