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

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
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 → …

Fingerprint

Brain computer interface
User interfaces
Robotics
Bandwidth
Wheelchairs
Sonar
Graphical user interfaces
Robots
Sensors

Cite this

@inproceedings{c692b4d597f341629d528ff50ed84f06,
title = "Intelligent Adaptive User Interfaces for BCI Based Robotic Control",
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.",
author = "V Gandhi and G Prasad and TM McGinnity and D Coyle and L Behera",
year = "2013",
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Gandhi, V, Prasad, G, McGinnity, TM, Coyle, D & Behera, L 2013, Intelligent Adaptive User Interfaces for BCI Based Robotic Control. in Unknown Host Publication. Proceedings of the Fifth International Brain-Computer Interface Meeting, 1/01/13. https://doi.org/10.3217/978-4-83452-381-5/130

Intelligent Adaptive User Interfaces for BCI Based Robotic Control. / Gandhi, V; Prasad, G; McGinnity, TM; Coyle, D; Behera, L.

Unknown Host Publication. 2013.

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

TY - GEN

T1 - Intelligent Adaptive User Interfaces for BCI Based Robotic Control

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AU - Prasad, G

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AU - Coyle, D

AU - Behera, L

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AB - 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.

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