• DocumentCode
    2216844
  • Title

    SenseShapes: using statistical geometry for object selection in a multimodal augmented reality

  • Author

    Olwal, Alex ; Benko, Hrvoje ; Feiner, Steven

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
  • fYear
    2003
  • fDate
    7-10 Oct. 2003
  • Firstpage
    300
  • Lastpage
    301
  • Abstract
    We introduce a set of statistical geometric tools designed to identify the objects being manipulated through speech and gesture in a multimodal augmented reality system. SenseShapes are volumetric regions of interest that can be attached to parts of the user´s body to provide valuable information about the user´s interaction with objects. To assist in object selection, we generate a rich set of statistical data and dynamically choose which data to consider based on the current situation.
  • Keywords
    audio user interfaces; augmented reality; computational geometry; haptic interfaces; speech recognition; speech-based user interfaces; SenseShapes; geometric tools; gesture identification; multimodal augmented reality; object selection; speech identification; statistical data; statistical geometry; user body; user interaction; volumetric regions; Augmented reality; Buildings; Computer science; Fusion power generation; Geometry; Head; Microphones; Monitoring; Optical sensors; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed and Augmented Reality, 2003. Proceedings. The Second IEEE and ACM International Symposium on
  • Print_ISBN
    0-7695-2006-5
  • Type

    conf

  • DOI
    10.1109/ISMAR.2003.1240730
  • Filename
    1240730
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2216844