Towards an Efficient Implementation of a Video-Based Gesture Interface

  • Jong-Seung Park
  • Jong-Hyun Yoon
  • Chungkyue Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4304)


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.


Feature Point Augmented Reality Hand Gesture Hand Gesture Recognition Table Tennis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jong-Seung Park
    • 1
  • Jong-Hyun Yoon
    • 1
  • Chungkyue Kim
    • 1
  1. 1.Department of Computer Science & EngineeringUniversity of IncheonIncheonRepublic of Korea

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