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

Gandhi, Vaibhav ORCID: https://orcid.org/0000-0003-1121-7419, Prasad, Girijesh, Coyle, Damien, Behera, Laxmidhar and McGinnity, Thomas Martin (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. ISSN 2168-2216 [Article] (doi:10.1109/TSMC.2014.2313317)

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.

Item Type: Article
Keywords (uncontrolled): Brain–computer interface (BCI), graphical user interface, motor imagery, wheelchair/robot
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 13694
Useful Links:
Depositing User: Vaibhav Gandhi
Date Deposited: 16 Jul 2014 10:03
Last Modified: 02 Nov 2020 04:10
URI: https://eprints.mdx.ac.uk/id/eprint/13694

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