Intelligent adaptive user interfaces for BCI based robotic control

Gandhi, Vaibhav, Prasad, Girijesh, McGinnity, Martin, Coyle, Damien and Behera, Laxmidhar (2013) Intelligent adaptive user interfaces for BCI based robotic control. Proceedings of the Fifth International Brain-Computer Interface Meeting 2013 .

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Abstract

The inherent lower bandwidth of a two-class BCI is still a major challenge in making BCI practical for day-to-day use. In this paper we present an intelligent adaptive user interface (iAUI) to facilitate enhanced robot control via BCI. The iAUI is a user-centric graphical user interface (GUI) that facilitates multiple controls needed in controlling a powered wheelchair or a robotic device using just a two-class motor imagery (MI) brain-computer interface (BCI). The iAUI offers a continuously updated prioritized list of all the control options (in the form of forward, left, right, backward and start/stop) for selection via a BCI by utilizing the information obtained from the sonar sensors mounted on the robotic device. Results on multiple participants in player-stage simulation as well as the physical robotic arena show that the iAUI addresses to a large extent the inherent lower bandwidth of a BCI for effective control of a robotic device.

Item Type: Article
Keywords (uncontrolled): Brain-computer interface (BCI); graphical user interface (GUI); motor imagery (MI); wheelchair; EEG
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 11506
Useful Links:
Depositing User: Vaibhav Gandhi
Date Deposited: 19 Aug 2013 11:58
Last Modified: 13 Oct 2016 14:28
URI: https://eprints.mdx.ac.uk/id/eprint/11506

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