한국게임학회 논문지 (Journal of Korea Game Society)

  • 제15권3호
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  • Pages.135-150
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  • 2015
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  • 1598-4540(pISSN)
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  • 2287-8211(eISSN)
한국게임학회 (Korea Game Society)
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키넥트를 이용한 동작인식 게임의 인터페이스 보정 방법

Interface Correction Method for Motion Recognition Game using Kinect

  • 강경헌 (동신대학교 디지털콘텐츠협동연구센터) ;
  • 김은석 (동신대학교 디지털콘텐츠학과)
  • 투고 : 2015.05.22
  • 심사 : 2015.06.16
  • 발행 : 2015.06.20
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초록

동작 인식 게임용으로 개발된 키넥트는 2011년 SDK가 공개되면서 게임뿐 아니라 과학, 교육, 의료 등 다양한 분야에서 활용되고 있다. 키넥트는 사용자 움직임에 대한 반응 속도가 늦고, 인식 데이터들에 노이즈가 많으며, 신체 일부분이 가려지면 추적할 수 없다는 문제점을 안고 있다. 이러한 플레이 환경의 특수성으로 대부분 게임에서는 키넥트 설치 위치나, 자세 교정과 같은 불편함을 요구한다. 본 연구에서는 키넥트를 이용한 게임에서 플레이어에 대한 요구 사항을 최소화하면서 노이즈와 같은 예외상황에 대처하고 일관된 동작 처리가 가능한 인터페이스 설계 방법을 제안하며, 실험을 통해 키넥트를 이용한 게임 개발 시 고려해야 할 지연 시간을 제시한다.

After the release of SDK in 2011, Kinect developed for the motion recognition games has been applied not only in game but also in various fields such as science, education, and health care. It has some problems as belated responses to player's movements, a lot of noise in the recognized data, and an untraceable player when the body is partially occluded. Because of Kinect's such peculiarities of playing environment, most Kinect games require the inconvenience of Kinect's location or player's posture correction. In this paper, we propose an interface correction method that minimizes the requirements to be asked players, manages the exceptions such as noise, and enables to process consistently the player's movements in the game using Kinect. Also, we present the delay time to be considered to develop the game using Kinect through the experiment.

키워드

참고문헌

  1. Korea Creative Content Agency, "In-Depth Report: Human-Device Interaction Technologies", CT Insight, No. 27, pp.2-40, 2012.
  2. C. J. Lim, D. H. Kim, Y. J. Kim, "Present and Future of Game Contents based on Motion Recognition", Journal of the Institute of Electronics and Information Engineers, Vol. 39, No. 4, pp.18-26, 2012.
  3. T. Leyvand, C. Meekhof, Y. Wei, J. Sun, and B. Guo, "Kinect Identity: Technology and Experience", IEEE Computer, Vol. 44, No. 4, pp.94-96, 2011.
  4. D. Nieuwenhuisen, A. Kamphuis, M.H. Overmars "High Quality Navigation in Computer Games", Science of Computer Programming, Vol. 67, No. 1, pp.91-104, 2007. https://doi.org/10.1016/j.scico.2006.06.008
  5. K. M. Lee, "Designing physical game interfaces using gestures", Journal of The Korean Society for Computer Game, Vol. 24, No. 1, pp.135-144, 2011.
  6. E. Lee, X. Liu, X. Zhang. "Xdigit: An Arithmetic Kinect Game to Enhance Math Learning Experiences", Fun and Games Conference, Toulouse, France Retrieved August 5, 2012.
  7. G. Altanis, M. Boloudakis, S. Retalis, N. Nikou, "Children with Mo tor Impairments Play a Kinect Learning Game: First Findings from a Pilot Case in an Authentic Classroom Environment", Interaction Design and Architecture(s) Journal-IxD&A, No. 19, pp.91-104, 2013.
  8. C. I. Jang, "A Study of the Physical Experience Using Serious Game Design Traffic Safety Education for Children applied using 3D Depth Gesture Recognition Technology", Journal of Korea Game Society, Vol 12, No. 6, pp.5-14, 2012. https://doi.org/10.7583/JKGS.2012.12.6.5
  9. S. I. Kim, et al., "Development of a Kinect based serious game for improving cognitive development in children with Autism Spectrum Disorder", Conference of Korea HCI Society, pp.21-24. 2014.
  10. Y. S. Chae, "A Serious Game Design and Prototype Development for Rehabilitation using KINECT Tools", Journal of Korea Multimedia Society, Vol. 17, No. 2, pp.248-256, 2014. https://doi.org/10.9717/kmms.2014.17.2.248
  11. D. G. Park, J. S. Jeong, "Guitar Rhythm Game Using Motion Capture", Journal of the Korea Institute Of Information and Communication Engineering, Vol. 17, No. 5, pp.1106-1112, 2013. https://doi.org/10.6109/jkiice.2013.17.5.1106
  12. J. K. Yoo, H. M. Won, K. M. Lee, "Recognition-based multimodal interfaces in a physical interactive Tae-bo game", Journal of The Korean Society for Computer Game, Vol. 24, No. 3, pp.109-117, 2011.
  13. A. R. Kim, S. Y. Rhee, "Recognition of Natural Hand Gesture by Using HMM", Journal of Korean Institute of Intelligent Systems, Vol. 22, No. 5, pp.639-645, 2012. https://doi.org/10.5391/JKIIS.2012.22.5.639
  14. H. D. Yang, "Conditional Random Field based Gesture Recognition with Kinect Sensor", Journal of KIISE: Software and Applications, Vol. 40, No. 11, pp.716-726. 2013.
  15. S. Y. Cho, H. R. Byun, H. K. Lee, J. H. Cha, "Arm Gesture Recognition for Shooting Games based on Kinect Sensor", Journal of KIISE: Software and Applications, Vol. 39, No. 10, pp.796-805. 2012.
  16. S. M. Kim, J. K. Song, B. W. Yoon, J. S, Park, "Height Estimation using Kinect in the Indoor", Journal of KIECS, Vol. 9, No. 2, pp.343-350. 2014.
  17. http://boomballgame.com
  18. http://shapeup.ubi.com
  19. http://dancecentral.com
  20. http://kinems.com
  21. http://thenextweb.com/microsoft
  22. http://just-dance.ubi.com