• DocumentCode
    3329053
  • Title

    Current BCI technologies in brain engineering

  • Author

    Keum-Shik Hong ; Santosa, Hendrik

  • Author_Institution
    Dept. of Cogno-Mechatron. Eng., Pusan Nat. Univ., Busan, South Korea
  • fYear
    2013
  • fDate
    25-27 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Various neuroimaging modalities have appeared to acquire brain signals for developing a brain-computer interface (BCI). In this article, we review studies on different modalities including both invasive and non-invasive techniques for the implementation of BCIs, for brain signals detection, decoding, feature extraction, and classification. We discuss their advantages, disadvantages, and implementation issues to design of BCIs. Finally, we focus on fundamental principles, recent developments, and applications by using optical imaging as a promising modality for BCI applications.
  • Keywords
    brain; brain-computer interfaces; decoding; feature extraction; handicapped aids; medical image processing; medical signal detection; signal classification; BCI technologies; brain engineering; brain feature extraction; brain signals classification; brain signals decoding; brain signals detection; brain-computer interface; disabled people; invasive techniques; noninvasive techniques; optical imaging; Artificial neural networks; Detectors; Electroencephalography; Feature extraction; Magnetic resonance imaging; Motion measurement; Wavelength measurement; brain-computer interface; neuroimaging; neurorehabilitaion; non-invasive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Biomimetics, and Intelligent Computational Systems (ROBIONETICS), 2013 IEEE International Conference on
  • Conference_Location
    Jogjakarta
  • Print_ISBN
    978-1-4799-1206-3
  • Type

    conf

  • DOI
    10.1109/ROBIONETICS.2013.6743567
  • Filename
    6743567