• DocumentCode
    971007
  • Title

    DASHER-an efficient writing system for brain-computer interfaces?

  • Author

    Wills, Sebastian A. ; MacKay, David J C

  • Author_Institution
    Dept. of Phys., Cambridge Univ., UK
  • Volume
    14
  • Issue
    2
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    244
  • Lastpage
    246
  • Abstract
    DASHER is a human-computer interface for entering text using continuous or discrete gestures. Through its use of an internal language model, DASHER efficiently converts bits received from the user into text, and has been shown to be a competitive alternative to existing text-entry methods in situations where an ordinary keyboard cannot be used. We propose that DASHER would be well-matched to the low bit-rate, noisy output obtained from brain-computer interfaces (BCIs), and discuss the issues surrounding the use of DASHER with BCI systems.
  • Keywords
    brain; handicapped aids; human computer interaction; medical computing; DASHER; brain-computer interfaces; human-computer interface; writing system; Books; Keyboards; Mobile communication; Mobile computing; Navigation; Personal digital assistants; Predictive models; Two dimensional displays; User interfaces; Writing; Assistive devices; augmentative communication; brain–computer interface (BCI); predictive language model; speller; text entry; user interfaces; Brain; Communication Aids for Disabled; Computer Peripherals; Electroencephalography; Humans; Man-Machine Systems; Software; Therapy, Computer-Assisted; User-Computer Interface; Writing;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2006.875573
  • Filename
    1642779