Recognition of Human Action for Game System

  • Hye Sun Park
  • Eun Yi Kim
  • Sang Su Jang
  • Hang Joon Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3397)


Using human action, playing a computer game can be more intuitive and interesting. In this paper, we present a game system that can be operated using a human action. For recognizing the human actions, the proposed system uses a Hidden Markov Model (HMM). To assess the validity of the proposed system we applied to a real game, Quake II. The experimental results verify the feasibility and validity of this game system.This system is currently capable of recognizing 13 gestures, corresponding to 20 keyboard and mouse commands for Quake II game.


Gesture Recognition Game System HMM (hidden Markov model) 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Hye Sun Park
    • 1
  • Eun Yi Kim
    • 2
  • Sang Su Jang
    • 1
  • Hang Joon Kim
    • 1
  1. 1.Department of Computer EngineeringKyungpook National UnivKorea
  2. 2.Department of Internet and Multimedia EngineeringKonkuk UnivKorea

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