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    Vrije Universiteit Brussel

    iGesture: A Java Framework for the Development and Deployment of Stroke-Based Online Gesture Recognition Algorithms

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    Existing gesture recognition tools and frameworks tend to focus on specific settings, gesture sets or algorithms. Further, they are often designed to support the developers of either applications or algorithms, but not both. Our goal was to develop a general and extensible framework that provides an integrated platform for the design and evaluation of algorithms, as well as for their deployment to a wide audience. The presented iGesture framework supports the definition and evaluation of new gesture sets. Furthermore, our gesture recognition framework enables an easy integration of new forms of input devices. We present the iGesture framework, show how it has been used to support the development of two new gesture recognition algorithmsan extension of Rubine called E-Rubine and SiGridand finally provide an evaluation of these algorithms.

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    Description

    New Full text for this article was not available? Send a request to the author(s).
    Title : iGesture: A Java Framework for the Development and Deployment of Stroke-Based Online Gesture Recognition Algorithms
    Author(s) : Beat Signer, Moira C Norrie, Ueli Kurmann
    Abstract : Existing gesture recognition tools and frameworks tend to focus on specific settings, gesture sets or algorithms. Further, they are often designed to support the developers of either applications or algorithms, but not both. Our goal was to develop a general and extensible framework that provides an integrated platform for the design and evaluation of algorithms, as well as for their deployment to a wide audience. The presented iGesture framework supports the definition and evaluation of new gesture sets. Furthermore, our gesture recognition framework enables an easy integration of new forms of input devices. We present the iGesture framework, show how it has been used to support the development of two new gesture recognition algorithmsan extension of Rubine called E-Rubine and SiGridand finally provide an evaluation of these algorithms.
    Keywords : gesture recognition algorithms, gesture recognition framework

    Subject : unspecified
    Area : Other
    Language : English
    Year : 2007

    Affiliations :  Vrije Universiteit Brussel
    Journal : Gesture
    Issue : TR561
    Publisher : Citeseer
    Url : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.65.5649&rep=rep1&type=pdf

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