EEG-Based Mobile Robot Control Through an Adaptive Brain–Robot Interface
- 11 April 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Vol. 44 (9), 1278-1285
- https://doi.org/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.Keywords
Funding Information
- U.K.-India Education and Research Initiative Grant Innovations in Intelligent Assistive Robotics
- InvestNI
- Northern Ireland Integrated Development Fund under the Centre of Excellence in Intelligent Systems Project
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