Interactive Mobile Pet Game

  • JongYeol Yang
  • TaeKyung Lee
  • Keechul Jung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3942)


As information technologies have been highly developed, mobile games are also becoming popular and splendid. However, the interface between human and computer has hardly changed and users can not operate mobile games exactly what they need due to the small buttons and small screen. In this paper, we present a new intuitive and interactive interface for mobile games using computer vision techniques optimized for low-performance mobile devices. It can track hand locations to interact with a cyber pet dog and execute several menus to give a command to mobile pet game. We use a HSI skin-color model and a CAMShift algorithm, which are adequate for the performance of mobile devices, in order to find the accurate hand location. And we use the Behavior-based AI method drawn from ethology to generate several actions of the pet dog.


Mobile Device Augmented Reality Gesture Recognition Computer Vision Technique Mobile Game 
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  1. 1.
    Freeman, W.T., Anderson, D.B., Beardsley, P.A.: Computer Vision for Interactive Computer Graphics. IEEE Computer Graphics and Application 18, 42–53 (1998)CrossRefGoogle Scholar
  2. 2.
    Seol, J., Lee, K., Won, K.: Virtual Stage:a location-based karaoke system. IEEE Multimedia 5(2), 42–52 (1998)CrossRefGoogle Scholar
  3. 3.
    szalavari, Z., Eckstein, E., Gervautz, M.: Collaborative Gaming in Augmented Reality. In: Proc. of ACM Symposium on Virtual Reality Software and Technology, pp. 195–204 (November 1998)Google Scholar
  4. 4.
    Freeman, W.T., Tanaka, K., Ohta, J., Kyuma, K.: Computer vision for computer games. In: Proc. of IEEE 2nd Intl. Conf. on Automatic Face and Gesture Recognition, pp. 100–105 (October 1996)Google Scholar
  5. 5.
    Bradski, G.R.: Microcomputer Research Lab, Santa Clara, CA, Intel Corporation, Computer Vision Face Tracking For Use in a Perceptual User Interface. Intel Technology Journal Q2 (1998)Google Scholar
  6. 6.
    Blumberg, B.: Old Tricks, New Dogs: Ethology and Interactive Creatures, Ph.D. Thesis, MIT Media Lab, Cambridge, MA (1996)Google Scholar
  7. 7.
    Brooks, R.A.: Intelligence without Reason, Computers and Thought lecture. In: Proceedings of IJCAI 1991, Sidney, Australia (1991)Google Scholar
  8. 8.
    Tyrrell, T.: Computational Mechanisms for Action Selection. Ph.D. Thesis, Centre for Cognitive Science, University of Edinburgh (1993)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • JongYeol Yang
    • 1
  • TaeKyung Lee
    • 1
  • Keechul Jung
    • 1
  1. 1.School of Media, College of Information ScienceSoongsil UniversitySeoulSouth Korea

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