Continuous tactile feedback for motor-imagery based brain-computer interaction in a multitasking context

Jeunet, Camille, Vi, Chi Thanh, Spelmezan, Daniel, N'Kaoua, Bernard, Lotte, Fabien and Subramanian, Sriram (2015) Continuous tactile feedback for motor-imagery based brain-computer interaction in a multitasking context. In: Human-Computer Interaction – INTERACT 2015 : 15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part I. Lecture notes in computer science (9296). Springer International Publishing, pp. 488-505. ISBN 9783319227009

[img] PDF - Published Version
Restricted to SRO admin only

Download (744kB)

Abstract

Motor-Imagery based Brain Computer Interfaces (MI-BCIs) allow users to interact with computers by imagining limb movements. MI-BCIs are very promising for a wide range of applications as they offer a new and non-time locked modality of control. However, most MI-BCIs involve visual feedback to inform the user about the system’s decisions, which makes them difficult to use when integrated with visual interactive tasks. This paper presents our design and evaluation of a tactile feedback glove for MI-BCIs, which provides a continuously updated tactile feedback. We first determined the best parameters for this tactile feedback and then tested it in a multitasking environment: at the same time users were performing the MI tasks, they were asked to count distracters. Our results suggest that, as compared to an equivalent visual feedback, the use of tactile feedback leads to a higher recognition accuracy of the MI-BCI tasks and fewer errors in counting distracters.

Item Type: Book Section
Keywords: Brain-Computer interaction Tactile feedback Multitasking
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Camille Jeunet
Date Deposited: 06 Jan 2016 14:23
Last Modified: 06 Jan 2016 14:23
URI: http://sro.sussex.ac.uk/id/eprint/58985

View download statistics for this item

📧 Request an update