Intelligent Adaptive User Interfaces for BCI Based Robotic Control

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

doi:10.3217/978-4-83452-381-5/130

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 proceeding › Conference contribution › peer-review

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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 language	English
Title of host publication	Unknown Host Publication
Publisher	TU Graz
Number of pages	2
DOIs	https://doi.org/10.3217/978-4-83452-381-5/130
Publication status	Published (in print/issue) - 2013
Event	Proceedings of the Fifth International Brain-Computer Interface Meeting - Duration: 1 Jan 2013 → …

Conference

Conference	Proceedings of the Fifth International Brain-Computer Interface Meeting
Period	1/01/13 → …

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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",

doi = "10.3217/978-4-83452-381-5/130",

language = "English",

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publisher = "TU Graz",

address = "Austria",

note = "Proceedings of the Fifth International Brain-Computer Interface Meeting ; Conference date: 01-01-2013",

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T1 - Intelligent Adaptive User Interfaces for BCI Based Robotic Control

AU - Gandhi, V

AU - Prasad, G

AU - McGinnity, TM

AU - Coyle, D

AU - Behera, L

PY - 2013

Y1 - 2013

N2 - 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.

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.

U2 - 10.3217/978-4-83452-381-5/130

DO - 10.3217/978-4-83452-381-5/130

M3 - Conference contribution

BT - Unknown Host Publication

PB - TU Graz

T2 - Proceedings of the Fifth International Brain-Computer Interface Meeting

Y2 - 1 January 2013

ER -

Intelligent Adaptive User Interfaces for BCI Based Robotic Control

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