Intelligent adaptive user interfaces for BCI based robotic control

Conference poster

Gandhi, V., Prasad, G., McGinnity, M., Coyle, D. and Behera, L. 2013. Intelligent adaptive user interfaces for BCI based robotic control. BCI meeting. USA Graz University of Technology Publishing House. https://doi.org/10.3217/978-3-85125-260-6-130
TypeConference poster
TitleIntelligent adaptive user interfaces for BCI based robotic control
AuthorsGandhi, V., Prasad, G., McGinnity, M., Coyle, D. and Behera, L.
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.

KeywordsBrain-computer interface (BCI); graphical user interface (GUI); motor imagery (MI); wheelchair; EEG
ConferenceBCI meeting
Proceedings TitleProceedings of the Fifth International Brain-Computer Interface Meeting 2013
PublisherGraz University of Technology Publishing House
Publication dates
PrintJun 2013
Publication process dates
Deposited19 Aug 2013
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.3217/978-3-85125-260-6-130
LanguageEnglish
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