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Developing games with Magic Playground: a gesture-based game engine

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Published:15 June 2005Publication History

ABSTRACT

This paper presents Magic Playground, a game engine that enables the development of entertainment applications with realtime gesture-based Human-Computer Interaction (HCI). We describe the main architectural elements of our system and provide a guideline on how to program the engine in order to create games. Finally, we present usability evaluation results of a game, which emulates the known Tetris game1

References

  1. Yoshinori Niwa, et. al., "Robust face detection and Japanese Sign Language hand posture recognition for human-computer interaction in an "intelligent" room". VI'2002, Faculty of Engineering, Gifu University, 2002.Google ScholarGoogle Scholar
  2. Mario Aguilar, et. al. "Facilitating user interaction with complex systems via hand gesture recognition". ACMSE'03.Knowledge Systems Laboratory, Jacksonville State University, 2003.Google ScholarGoogle Scholar
  3. Larry S., et. al., "A statistical approach for real-time robust background subtraction and shadow detection". Technical report, Computer Vision Laboratory University of Maryland, 1999.Google ScholarGoogle Scholar
  4. Barbara Mazzarino, et. al., "Analysis of expressive gesture: The eyesweb expressive gesture processing library". Proc. of Gesture Workshop 2003, Genova, 2003.Google ScholarGoogle Scholar

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  1. Developing games with Magic Playground: a gesture-based game engine

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                    cover image ACM Other conferences
                    ACE '05: Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
                    June 2005
                    511 pages
                    ISBN:1595931104
                    DOI:10.1145/1178477

                    Copyright © 2005 ACM

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                    Association for Computing Machinery

                    New York, NY, United States

                    Publication History

                    • Published: 15 June 2005

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                    Overall Acceptance Rate36of90submissions,40%

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