Towards an efficient implementation of a video-based gesture interface

  • Authors:
  • Jong-Seung Park;Jong-Hyun Yoon;Chungkyue Kim

  • Affiliations:
  • Department of Computer Science & Engineering, University of Incheon, Incheon, Republic of Korea;Department of Computer Science & Engineering, University of Incheon, Incheon, Republic of Korea;Department of Computer Science & Engineering, University of Incheon, Incheon, Republic of Korea

  • Venue:
  • AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
  • Year:
  • 2006

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Abstract

Human-computer interactions in augmented reality games are generally based on human gestures. For each input video frame captured from a live video camera, image analysis technologies are used to infer the human intension. The development of augmented reality user interfaces is a difficult task due to the instability of the gesture analysis. The user interfaces cannot be efficiently developed with traditional development techniques. In this paper, we investigate an effective development methodology for gesture-based augmented reality interfaces by means of three different approaches. The implementation requires a real-time tracking of bare hands or real rackets to allow fast movements and interactions without delay. We also verify the applicability of the prototyping mechanism by implementing and demonstrating an augmented reality game played with either bare hands or real rackets.