• DocumentCode
    747869
  • Title

    Real-world applications for brain-computer interface technology

  • Author

    Moore, Melody M.

  • Author_Institution
    Comput. Inf. Syst. Dept., Georgia State Univ., Atlanta, GA, USA
  • Volume
    11
  • Issue
    2
  • fYear
    2003
  • fDate
    6/1/2003 12:00:00 AM
  • Firstpage
    162
  • Lastpage
    165
  • Abstract
    The mission of the Georgia State University BrainLab is to create and adapt methods of human-computer interaction that will allow brain-computer interface (BCI) technologies to effectively control real-world applications. Most of the existing BCI applications were designed largely for training and demonstration purposes. Our goal is to research ways of transitioning BCI control skills learned in training to real-world scenarios. Our research explores some of the problems and challenges of combining BCI outputs with human-computer interface paradigms in order to achieve optimal interaction. We utilize a variety of application domains to compare and validate BCI interactions, including communication, environmental control, neural prosthetics, and creative expression. The goal of this research is to improve quality of life for those with severe disabilities.
  • Keywords
    electroencephalography; handicapped aids; medical computing; prosthetics; reviews; brain-computer interface technology; communication; demonstration purposes; direct-brain interface; environmental control; locked-in syndrome; neural prosthetics; optimal interaction; people with severe disabilities; quality of life improvement; real-world scenarios; training purposes; Application software; Biological control systems; Brain computer interfaces; Communication system control; Control systems; Fatigue; Optimal control; Prosthetics; Subcontracting; User interfaces; Activities of Daily Living; Brain; Communication Aids for Disabled; Computer Graphics; Environment; Feedback; Georgia; Humans; Quadriplegia; Research Design; Robotics; Universities; User-Computer Interface; Wheelchairs;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2003.814433
  • Filename
    1214710