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.
Original language | English |
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Pages (from-to) | 1278-1285 |
Number of pages | 8 |
Journal | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Volume | 44 |
Issue number | 9 |
Early online date | 11 Apr 2014 |
DOIs | |
Publication status | Published - 30 Sept 2014 |
Keywords
- Mobile robots
- Robot sensing systems
- Graphical user interfaces
- Accuracy
- Wheelchairs