EEG-based mobile robot control through an adaptive brain–robot interface

Article

Gandhi, V., Prasad, G., Coyle, D., Behera, L. and McGinnity, T. 2014. EEG-based mobile robot control through an adaptive brain–robot interface. IEEE Transactions on Systems Man and Cybernetics: Systems. 44 (9), pp. 1278-1285. https://doi.org/10.1109/TSMC.2014.2313317
TypeArticle
TitleEEG-based mobile robot control through an adaptive brain–robot interface
AuthorsGandhi, V., Prasad, G., Coyle, D., Behera, L. and McGinnity, T.
Abstract

A major challenge in two-class brain–computer interface (BCI) systems is the low bandwidth of the communication channel, especially while communicating and controlling assistive devices, such as a smart wheelchair or a telepresence mobile robot, which requires multiple motion command options in the form of forward, left, right, backward, and start/stop. To address this, an adaptive user-centric graphical user interface referred to as the intelligent adaptive user interface (iAUI) based on an adaptive shared control mechanism is proposed. The iAUI offers multiple degrees-of-freedom control of a robotic device by providing a continuously updated prioritized list of all the options for selection to the BCI user, thereby improving the information transfer rate. Results have been verified with multiple participants controlling a simulated as well as physical pioneer robot.

KeywordsBrain–computer interface (BCI); graphical user interface; motor imagery; wheelchair/robot
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
JournalIEEE Transactions on Systems Man and Cybernetics: Systems
ISSN2168-2216
Publication dates
Online11 Apr 2014
Print14 Aug 2014
Publication process dates
Deposited16 Jul 2014
Accepted10 Dec 2013
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/TSMC.2014.2313317
LanguageEnglish
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