• DocumentCode
    2380680
  • Title

    Implementation of Electromyogram Interface in CABIN Immersive Multiscreen Display

  • Author

    Touyama, Hideaki ; Hirota, Koichi ; Hirose, Michitaka

  • Author_Institution
    Intelligent Modeling Laboratory,University of Tokyo
  • fYear
    2006
  • fDate
    25-29 March 2006
  • Firstpage
    273
  • Lastpage
    278
  • Abstract
    The electromyogram (EMG) signal, which is a kind of biomedical information, might be promising as a computer-human interface. The purpose in this paper is to make a brief report on implementation of the EMG interface in CAVE-clone display and propose the advantages of it. In general, it is expected that the environmental electromagnetic noise would disturb the novel EMG signals. We measured the EMG signals and obtained high signal-to-noise ratio in CABIN immersive multiscreen display constructed at the University of Tokyo. The observed signal-tonoise ratio would make EMG signals a reliable input channel with simple signal processing, and real time control of virtual objects was successfully performed. The advantages of the EMG signals will be proposed as a promising human interface in immersive multiscreen environments. The user would control virtual objects reflecting the activations of the user’s muscles to realize fine operations. Furthermore, by using this additional biosignal channel, the user might interact with virtual objects without definite motion.
  • Keywords
    CABIN; CAVE; biosignal; computer human interface; electromyogram EMG; virtual reality VR; Biomedical computing; Biomedical measurements; Computer displays; Computer interfaces; Electromagnetic interference; Electromagnetic measurements; Electromyography; Signal processing; Signal to noise ratio; Working environment noise; CABIN; CAVE; biosignal; computer human interface; electromyogram EMG; virtual reality VR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality Conference, 2006
  • ISSN
    1087-8270
  • Print_ISBN
    1-4244-0224-7
  • Type

    conf

  • DOI
    10.1109/VR.2006.83
  • Filename
    1667658