Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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Implementation of Arduino Air Mouse for Sniper Simulator Game

저격 시뮬레이터 게임을 위한 아두이노 에어 마우스 구현

  • Jang, Myeong-Soo (School of Computer and Information and Communication Engineering. Sangji University) ;
  • Sim, Young-Hoon (School of Computer and Information and Communication Engineering. Sangji University) ;
  • Lee, Woo-Beom (School of Computer and Information and Communication Engineering. Sangji University)
  • 장명수 (상지대학교 컴퓨터정보공학부) ;
  • 심영훈 (상지대학교 컴퓨터정보공학부) ;
  • 이우범 (상지대학교 컴퓨터정보공학부)
  • Received : 2016.10.12
  • Accepted : 2016.12.09
  • Published : 2016.12.31
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Abstract

With the recent introduction of HMD devices, there is a growing interest in simulator games that are difficult to experience directly like a FPS, racing game. However, because these gaming require a large volume consol and a additive user manipulating devices for the more reality experience, most of these games are very expensive. Therefore, we propose the Arduino Air Mouse for a sniper simulator game, which maximizes realism and can be enjoyed with small volume and low cost devices. The implemented Arduino Air Mouse uses an acceleration sensor and gyro sensor. Specially, after this device was tested in the a sniper simulator game that is applied the ballistics in the Unity3D environment, the implemented game showed more reality.

최근 HMD 기기의 보급화로 1인칭 슈팅 게임(FPS; First-Person Shooter), 레이싱 게임 등의 직접적으로 경험하기 어려운 환경을 체험하는 시뮬레이터 게임에 대한 관심이 증가하고 있다. 그러나 이러한 시뮬레이터 게임들은 현실감 있는 체험을 위해서 큰 부피의 콘솔과 부가적인 사용자 조작 장치를 요구하는 고가의 제품이 대부분이다. 따라서 본 논문에서는 사실감을 극대화 하고, 작은 부피, 적은 비용으로 즐길 수 있는 저격 시뮬레이터 게임을 위한 아두이노 에어 마우스를 구현한다. 구현한 아두이노 에어 마우스는 가속도 센서와 자이로 센서 값을 기반으로 동작하며, 특히 Unity3D 환경에서 탄도학이 적용된 저격 시뮬레이터 게임에서 테스트한 결과보다 높은 사실감을 보였다.

Keywords

References

  1. M. Claypool, K. Claypool, F. Damaa, "The effects of frame rate and resolution on users playing first person shooter games." International Society for Optics and Photonics. Electronic Imaging 2006. vol. 6071, pp. 1-11, 2006.
  2. A. A. Argyros, M. I. Lourakis, "Vision-based interpretation of hand gestures for remote control of a computer mouse." European Conference on Computer Vision. Springer Berlin Heidelberg, pp. 40-51, 2006.
  3. A. A. Braga, G. L. Pierce, "Linking crime guns: the impact of ballistics imaging technology on the productivity of the Boston Police Department's Ballistics Unit." Journal of Forensic Science, vol. 49, no. 4, pp. 1-6, 2004.
  4. N. Y. Leenders, "Ability of different hysical activity monitors to detect movement during treadmill walking," Int. J. Sports Med., vol. 24, pp. 43-50, 2003. https://doi.org/10.1055/s-2003-37196
  5. J. W. Yoon, S. H. Jang, and S. B. Cho, "Enhanced user immersive experience with a virtual reality based FPS game interface." Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, pp. 69-74, 2010.
  6. R. Azuma, Y. Baillot, R. Behringer, S. Feiner, S. Julier, and B. MacIntyre, "Recent advances in augmented reality," IEEE Computer Graphics and Applications, vol. 21, no. 6, pp.34-47, 2001. https://doi.org/10.1109/38.963459
  7. K. Johnsen, and B. Lok, "An evaluation of immersive displays for virtual human experiences," In Proc. of the IEEE Virtual Reality Conference, pp. 133-136, 2008.
  8. D. G. Jung, C. S. Jang, J. H. Oh, J. G. Kang, I. G. Oh, and K. C. Jung, "An immersive game using a new interface: the Well-Tep," Lectere Notes in Computer Science, vol. 4469, pp. 63- 68, 2007.
  9. H. Siegl, M. Hanheide, S. Wrede, and A. Pinz, "An augmented reality human-computer interface for object localization in a cognitive vision system," Image and Vision Computing, vol. 25, no. 12, pp. 1895-1903, 2007. https://doi.org/10.1016/j.imavis.2006.04.027
  10. S. H. Jang, J. W. Yoon, and S. B. Cho, "Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm," In Proc. of 5th Intl. Conf. on Computational Intelligence and Games, pp. 75-79, 2009.
  11. K. Mackin, "Evolving intelligent multiagent systems using unsupervised agent co mmunication and behavior training," IEEE Intl. Conf. on Systems, Man, and Cybernetics, vol. 4, pp. 2411-2414, 2000.