• DocumentCode
    3110639
  • Title

    Remarks on EOG and EMG gesture recognition in hands-free manipulation system

  • Author

    Takahashi, Kazuhiko ; Ohta, Takako ; Hashimoto, Masafumi

  • Author_Institution
    Dept. of Inf. Syst. Design, Doshisha Univ., Kyotanabe
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    798
  • Lastpage
    803
  • Abstract
    This paper investigates a nonverbal interface system using bio-potential signals, such as EOG and EMG, measured by a simple brain-computer interface and discusses its possibility of controlling application in a hands-free manipulation system. A simple gesture recognition algorithm from EOG and EMG signals is presented to estimate the user´s intentions and/or thoughts. To evaluate the effectiveness of the interface system, experiments of controlling a walkthrough application in 3D virtual space are carried out and the usefulness of the interface system is confirmed. As a practical application example, controlling an active camera with the interface system is also demonstrated.
  • Keywords
    brain-computer interfaces; electro-oculography; electromyography; gesture recognition; 3D virtual space; EMG; EOG; biopotential signals; brain-computer interface; gesture recognition; hands-free manipulation system; nonverbal interface system; Application software; Brain computer interfaces; Cameras; Communication system control; Computer interfaces; Control systems; Electromyography; Electrooculography; Humans; Man machine systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811376
  • Filename
    4811376