Intelligent adaptive user interfaces for BCI based robotic control

Gandhi, Vaibhav ORCID: https://orcid.org/0000-0003-1121-7419, 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 . [Article] (doi:10.3217/978-3-85125-260-6-130)

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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