• DocumentCode
    3136478
  • Title

    EEG Signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm

  • Author

    Kono, Susumu ; Aminaka, Daiki ; Makino, Shigeru ; Rutkowski, Tomasz M.

  • Author_Institution
    Life Sci. Center of TARA, Univ. of Tsukuba, Tsukuba, Japan
  • fYear
    2013
  • fDate
    2-5 Dec. 2013
  • Firstpage
    812
  • Lastpage
    817
  • Abstract
    The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a force-feedback joystick can serve as a platform for a brain-computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses, thus defining a tactile-force brain computer interface (tfBCI). We present brain signal processing and classification procedures leading to successful online interfacing results. Experimental results with seven subjects performing online BCI experiments provide a validation of the hand location tfBCI paradigm, while the feasibility of the concept is illuminated through remarkable information-transfer rates.
  • Keywords
    brain-computer interfaces; electroencephalography; force feedback; haptic interfaces; medical signal processing; signal classification; EEG signal classification; EEG signal processing; brain signal classification; brain signal processing; force-feedback joystick; hand location tfBCI paradigm; information-transfer rates; online interfacing; tactile brain potential responses; tactile-force brain-computer interface paradigm; tactile-force stimulus; Accuracy; Electrodes; Electroencephalography; Force; Protocols; Time factors; Visualization; EEG; brain signal processing; brain somatosensory evoked response; tactile BCI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on
  • Conference_Location
    Kyoto
  • Type

    conf

  • DOI
    10.1109/SITIS.2013.132
  • Filename
    6727282