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 |
|---|---|
| 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 |
Funding
This work was supported in part by the U.K.– India Education and Research Initiative Grant Innovations in Intelligent Assistive Robotics, in part by the InvestNI, and in part by the Northern Ireland Integrated Development Fund under the Centre of Excellence in Intelligent Systems Project.
Keywords
- Mobile robots
- Robot sensing systems
- Graphical user interfaces
- Accuracy
- Wheelchairs