• DocumentCode
    1335505
  • Title

    EEG Control of a Virtual Helicopter in 3-Dimensional Space Using Intelligent Control Strategies

  • Author

    Royer, Audrey S. ; Doud, Alexander J. ; Rose, Minn L. ; He, Bin

  • Author_Institution
    Grad. Program in Neurosci., Univ. of Minnesota, Minneapolis, MN, USA
  • Volume
    18
  • Issue
    6
  • fYear
    2010
  • Firstpage
    581
  • Lastpage
    589
  • Abstract
    Films like Firefox, Surrogates, and Avatar have explored the possibilities of using brain-computer interfaces (BCIs) to control machines and replacement bodies with only thought. Real world BCIs have made great progress toward that end. Invasive BCIs have enabled monkeys to fully explore 3-D space using neuroprosthetics. However, noninvasive BCIs have not been able to demonstrate such mastery of 3-D space. Here, we report our work, which demonstrates that human subjects can use a noninvasive BCI to fly a virtual helicopter to any point in a 3-D world. Through use of intelligent control strategies, we have facilitated the realization of controlled flight in 3-D space. We accomplished this through a reductionist approach that assigns subject-specific control signals to the crucial components of 3-D flight. Subject control of the helicopter was comparable when using either the BCI or a keyboard. By using intelligent control strategies, the strengths of both the user and the BCI system were leveraged and accentuated. Intelligent control strategies in BCI systems such as those presented here may prove to be the foundation for complex BCIs capable of doing more than we ever imagined.
  • Keywords
    biocontrol; brain-computer interfaces; electroencephalography; neurophysiology; 3-D space; BCI; EEG control; brain-computer interface; electroencephalography; intelligent control; neuroprosthetics; virtual helicopter; Aerospace electronics; Brain computer interfaces; Electroencephalography; Helicopters; Three dimensional displays; Brain–computer interface (BCI); electroencephalography (EEG); three-dimensional (3-D); Adult; Aircraft; Algorithms; Brain; Computer Graphics; Computer Simulation; Data Interpretation, Statistical; Electroencephalography; Humans; Information Theory; Psychomotor Performance; Space Perception; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2010.2077654
  • Filename
    5585778