• DocumentCode
    115495
  • Title

    A tactile Brain-Computer Interface for severely disabled patients

  • Author

    Ortner, R. ; Lugo, Z. ; Noirhomme, Q. ; Laureys, Steven ; Guger, C.

  • Author_Institution
    Guger Technol. OG, Austria
  • fYear
    2014
  • fDate
    23-26 Feb. 2014
  • Firstpage
    235
  • Lastpage
    237
  • Abstract
    Brain-Computer Interfaces (BCI) for communication purposes are usually controlled via a P300 paradigm. There, a high number of different classes is presented to the user, thus enhancing the information transfer rate in comparison to e.g. motor imagery based BCIs. During the last years several P300 speller, based on visual stimulation, were developed. For people with visual impairments another stimulation strategy needs to be used. In this publication a vibrotactile P300 based BCI is introduced. Two different approaches were tested: a first approach using three stimulators and a second one that utilizes eight stimulators for emitting the stimuli. The two paradigms were tested on 18 users: A group of twelve healthy users and a second group comprising of six patients suffering Locked-In Syndrome (LIS). The control accuracy was calculated for both groups, proving the feasibility of the device, not only for healthy people but also in severely disabled patients.
  • Keywords
    brain-computer interfaces; electroencephalography; haptic interfaces; medical signal processing; LIS; P300 paradigm; P300 speller; information transfer rate; locked-in syndrome; people with visual impairments; severely disabled patients; stimulation strategy; tactile brain-computer interface; vibrotactile P300 based BCI; visual stimulation; Accuracy; Brain-computer interfaces; Educational institutions; Electroencephalography; Fingers; Standards; Visualization; Brain-Computer Interfaces; Electroencephalography; Haptic devices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Haptics Symposium (HAPTICS), 2014 IEEE
  • Conference_Location
    Houston, TX
  • Type

    conf

  • DOI
    10.1109/HAPTICS.2014.6775460
  • Filename
    6775460