• DocumentCode
    26355
  • Title

    Noninvasive Brain–Computer Interfaces for Augmentative and Alternative Communication

  • Author

    Akcakaya, Mehmet ; Peters, Brian ; Moghadamfalahi, Mohammad ; Mooney, Aimee R. ; Orhan, Umut ; Oken, B. ; Erdogmus, Deniz ; Fried-Oken, M.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Northeastern Univ., Boston, MA, USA
  • Volume
    7
  • fYear
    2014
  • fDate
    2014
  • Firstpage
    31
  • Lastpage
    49
  • Abstract
    Brain-computer interfaces (BCIs) promise to provide a novel access channel for assistive technologies, including augmentative and alternative communication (AAC) systems, to people with severe speech and physical impairments (SSPI). Research on the subject has been accelerating significantly in the last decade and the research community took great strides toward making BCI-AAC a practical reality to individuals with SSPI. Nevertheless, the end goal has still not been reached and there is much work to be done to produce real-world-worthy systems that can be comfortably, conveniently, and reliably used by individuals with SSPI with help from their families and care givers who will need to maintain, setup, and debug the systems at home. This paper reviews reports in the BCI field that aim at AAC as the application domain with a consideration on both technical and clinical aspects.
  • Keywords
    assisted living; biomedical communication; brain-computer interfaces; medical disorders; reviews; speech; BCI-AAC; SSPI; access channel; alternative communication; assistive technologies; augmentative communication; noninvasive brain-computer interfaces; severe speech and physical impairments; Brain modeling; Communication services; Computer interfaces; Electric potential; Electroencephalography; Signal processing; Visualization; Augmentative and Alternative Communication (AAC); brain–computer interface (BCI); electroencephalography (EEG);
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Reviews in
  • Publisher
    ieee
  • ISSN
    1937-3333
  • Type

    jour

  • DOI
    10.1109/RBME.2013.2295097
  • Filename
    6684304