• DocumentCode
    1707031
  • Title

    Immersive training games for smartphone-based head mounted displays

  • Author

    Hoberman, Perry ; Krum, David M. ; Suma, Evan A. ; Bolas, Mark

  • fYear
    2012
  • Firstpage
    151
  • Lastpage
    152
  • Abstract
    Thin computing clients, such as smartphones and tablets, have exhibited recent growth in display resolutions, processing power, and graphical rendering speeds. In this poster, we show how we leveraged these trends to create virtual reality (VR) training games which run entirely on a commodity mobile computing platform. This platform consists of a commercial off-the-shelf game engine, commodity smartphones, and mass produced optics. The games utilize the strengths of this platform to provide immersive features like 360 degree photo panoramas and interactive 3D virtual scenes. By sharing information about building such applications, we hope to enable others to develop new types of mobile VR applications. In particular, we feel this system is ideally suited for casual “pick up and use” VR applications for collaborative classroom learning, design reviews, and other multi-user immersive experiences.
  • Keywords
    helmet mounted displays; mobile computing; smart phones; virtual reality; commodity smartphones; display resolutions; game engine; graphical rendering speeds; head mounted displays; immersive training games; interactive 3D virtual scenes; mass produced optics; mobile computing; photo panoramas; processing power; smartphone; thin computing clients; virtual reality training games; Games; Keyboards; Mobile communication; Smart phones; Stereo image processing; Three dimensional displays; Virtual reality; B.4.2 [Input/Output and Data Communications]: Input/Output Devices — Image display; H.5.1 [Information Interfaces and Presentation (I.7)]: Multimedia Information Systems — Artificial, augmented, and virtual realities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality Short Papers and Posters (VRW), 2012 IEEE
  • Conference_Location
    Costa Mesa, CA
  • ISSN
    1087-8270
  • Print_ISBN
    978-1-4673-1247-9
  • Type

    conf

  • DOI
    10.1109/VR.2012.6180926
  • Filename
    6180926