• DocumentCode
    747796
  • Title

    A BCI-based environmental controller for the motion-disabled

  • Author

    Gao, Xiaorong ; Xu, Dingfeng ; Cheng, Ming ; Gao, Shangkai

  • Author_Institution
    Dept. of Biomed. Eng., Tsinghua Univ., Beijing, China
  • Volume
    11
  • Issue
    2
  • fYear
    2003
  • fDate
    6/1/2003 12:00:00 AM
  • Firstpage
    137
  • Lastpage
    140
  • Abstract
    With the development of brain-computer interface (BCI) technology, researchers are now attempting to put current BCI techniques into practical application. This paper presents an environmental controller using a BCI technique based on steady-state visual evoked potential. The system is composed of a stimulator, a digital signal processor, and a trainable infrared remote-controller. The attractive features of this system include noninvasive signal recording, little training requirement, and a high information transfer rate. Our test results have shown that this system can distinguish at least 48 targets and provide a transfer rate up to 68 b/min. The system has been applied to the control of an electric apparatus successfully.
  • Keywords
    handicapped aids; medical control systems; medical signal processing; visual evoked potentials; brain-computer interface technology; cortical potential; electric apparatus control; environmental control; noninvasive signal recording; scalp electroencephalogram; steady-state visual evoked potential; trainable infrared remote-controller; transfer rate; Biomedical engineering; Control systems; Digital signal processors; Electroencephalography; Motion control; Rhythm; Scalp; Signal processing; Steady-state; System testing; Algorithms; Electroencephalography; Electronics; Equipment Design; Evoked Potentials, Visual; Feedback; Humans; Movement Disorders; Photic Stimulation; Signal Processing, Computer-Assisted; User-Computer Interface; Visual Perception;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2003.814449
  • Filename
    1214703