• DocumentCode
    2618193
  • Title

    UsiGesture: An environment for integrating pen-based interaction in user interface development

  • Author

    Beuvens, François ; Vanderdonckt, Jean

  • Author_Institution
    Louvain Sch. of, Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium
  • fYear
    2012
  • fDate
    16-18 May 2012
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    Several algorithms have been developed for pen-based gesture recognition. Yet, their integration in streamline engineering of interactive systems is bound to several shortcomings: they are hard to compare to each other, determining which one is the most suitable in which situation is a research problem, their performance largely vary depending on contextual parameters that are hard to predict, their fine-tuning in a real interactive application is a challenge. In order to address these shortcomings, we developed UsiGesture, an engineering method and a software support platform that accommodates multiple algorithms for pen-based gesture recognition in order to integrate them in a straightforward way into interactive computing systems. The method is aimed at providing designers and developers with support for the following steps: defining a dataset that is appropriate for an interactive system (e.g., made of commands, symbols, characters), determining the most suitable gesture recognition algorithm depending on contextual variables (e.g., user, platform, environment), fine-tuning the parameters of this algorithm by multi-criteria optimization (e.g., system speed and recognition rate vs. human distinguishability and perception), and incorporation of the fine-tuned algorithm in an integrated development environment for engineering interactive systems.
  • Keywords
    gesture recognition; light pens; optimisation; software tools; user interface management systems; UsiGesture; contextual variables; engineering interactive systems; interactive computing systems; multicriteria optimization; parameter fine-tuning; pen-based gesture recognition; pen-based interaction; software support platform; user interface development; Algorithm design and analysis; Databases; Gesture recognition; Machine learning algorithms; Shape; Training; User interfaces; Gesture recognition; pen-based interaction; user interface modeling Introduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Information Science (RCIS), 2012 Sixth International Conference on
  • Conference_Location
    Valencia
  • ISSN
    2151-1349
  • Print_ISBN
    978-1-4577-1936-3
  • Electronic_ISBN
    2151-1349
  • Type

    conf

  • DOI
    10.1109/RCIS.2012.6240449
  • Filename
    6240449