• DocumentCode
    240107
  • Title

    Problem solving using hybrid brain-computer interface methods: A review

  • Author

    Henshaw, James ; Wei Liu ; Romano, Daniela

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Sheffield, Sheffield, UK
  • fYear
    2014
  • fDate
    5-7 Nov. 2014
  • Firstpage
    215
  • Lastpage
    219
  • Abstract
    The latest advancements in hybrid brain-computer interface (hBCI) research are reported in this paper. Specifically we look at the latest pure hBCI systems, which use two or more different brain-computer interface (BCI) signals to allow the user to interact with a computer system. A special emphasis is placed on investigating how problems encountered by standard BCI systems are now being tackled by hBCI methods.
  • Keywords
    brain-computer interfaces; BCI signals; brain-computer interface signals; computer system; hBCI methods; hBCI systems; hybrid brain-computer interface methods; hybrid brain-computer interface research; problem solving; standard BCI systems; Accuracy; Brain-computer interfaces; Computers; Electroencephalography; Standards; Time-frequency analysis; BCI; BMI; ERD; P300; SSVEP; brain-computer interface; hBCI; hybrid; review;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Infocommunications (CogInfoCom), 2014 5th IEEE Conference on
  • Conference_Location
    Vietri sul Mare
  • Type

    conf

  • DOI
    10.1109/CogInfoCom.2014.7020448
  • Filename
    7020448
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=240107