Natural interaction on tabletops

  • Authors:
  • Stefano Baraldi;Alberto Bimbo;Lea Landucci

  • Affiliations:
  • Media Integration and Communication Center, Università degli studi di Firenze, Florence, Italy;Media Integration and Communication Center, Università degli studi di Firenze, Florence, Italy;Media Integration and Communication Center, Università degli studi di Firenze, Florence, Italy

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2008

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Abstract

We present two different Computer Vision based systems that enable multiple users to concurrently manipulate graphic objects presented over tabletop displays. The two solutions have different hardware layouts and use two different algorithms for gesture analysis and recognition. The first one is a media-handling application that can be used by co-located and remote users. The second is a knowledge-building application where users can manipulate the contents of a wiki as a visual concept map. The performance of both systems is evaluated and expounded. A conceptual framework is introduced, providing the fundamental guidelines for the design of natural interaction languages on tabletops.