TY - JOUR
T1 - EEG based mobile robot control through an adaptive brain-robot interface
AU - Gandhi, V
AU - Prasad, G
AU - Coyle, DH
AU - Behera, Laxmidhar
AU - McGinnity, TM
PY - 2014/8/14
Y1 - 2014/8/14
N2 - 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.
AB - 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.
KW - Mobile robots
KW - Robot sensing systems
KW - Graphical user interfaces
KW - Accuracy
KW - Wheelchairs
UR - https://pure.ulster.ac.uk/en/publications/eeg-based-mobile-robot-control-through-an-adaptive-brain-robot-in-3
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6787110&sortType%3Dasc_p_Sequence%26filter%3DAND(p_IS_Number%3A6376248)
U2 - 10.1109/TSMC.2014.2313317
DO - 10.1109/TSMC.2014.2313317
M3 - Article
SN - 2168-2232
VL - 44
SP - 1278
EP - 1285
JO - IEEE Transactions on Systems, Man, and Cybernetics: Systems
JF - IEEE Transactions on Systems, Man, and Cybernetics: Systems
IS - 9
ER -