Intelligent Adaptive User Interfaces for BCI Based Robotic Control

V Gandhi, G Prasad, TM McGinnity, D Coyle, L Behera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherTU Graz
Number of pages2
DOIs
Publication statusPublished - 2013
EventProceedings of the Fifth International Brain-Computer Interface Meeting -
Duration: 1 Jan 2013 → …

Conference

ConferenceProceedings of the Fifth International Brain-Computer Interface Meeting
Period1/01/13 → …

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