• DocumentCode
    1837121
  • Title

    A conceptual brain machine interface system

  • Author

    Byron, O. ; He, J.P. ; Hu, J. ; Si, J.

  • Author_Institution
    IEEE, Washington, DC, USA
  • fYear
    2005
  • fDate
    26-28 May 2005
  • Firstpage
    40
  • Lastpage
    44
  • Abstract
    While even a single bit output can impart a great deal of improvement in quality of life to patients, a richer vocabulary could obviously mean an even greater degree of control. This paper discusses ideas about extending previous results of using a support vector machine (SVM) based brain machine interface (BMI) to include multiple directions and magnitudes. It also investigates the number of neurons needed to create an accurate two direction result.
  • Keywords
    brain; neurophysiology; support vector machines; user interfaces; SVM; conceptual brain machine interface system; neuroprosthesis; support vector machine; Animals; Control systems; Decoding; Light emitting diodes; Lighting control; Neurons; Pressing; Robots; Support vector machines; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Interface and Control, 2005. Proceedings. 2005 First International Conference on
  • Print_ISBN
    0-7803-8902-6
  • Type

    conf

  • DOI
    10.1109/ICNIC.2005.1499838
  • Filename
    1499838
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1837121