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Contrasting Levels of Accuracy in Command Interaction Sequences for a Domestic Brain-Computer Interface Using SSVE

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Ware, Melanie, McCullagh, PJ, McRoberts, Alexander, Lightbody, G, Nugent, CD, McAllister, HG, Mulvenna, Maurice, Thomson, Eileen and Martin, Suzanne (2010) Contrasting Levels of Accuracy in Command Interaction Sequences for a Domestic Brain-Computer Interface Using SSVE. In: Biomedical Engineering Conference (CIBEC), 2010 5th Cairo International. IEEE Computer Society, pp. 150-153. ISBN 978-1-4244-7168-3 [Book section]

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DOI: 10.1109/CIBEC.2010.5716040

Abstract

Providing a usable domestic brain-computer interface (BCI) for persons with disabilities requires that the development team ensure ease of interaction for all the potential users. To do this for individuals with complex needs often requires that an approach is tailored to a specific user. However, in developing a domestic BCI it is necessary to consider the provision of an application which hides the complexity of the underlying science from the user whilst delivering acceptable levels of interaction for many. This is not an unusual circumstance in the realm of assistive technology. We present a cohesive test suite which allows the development team to assess what constitutes an acceptable level of accuracy in a four-way command interface using steady-state visually evoked potentials (SSVEP). It also facilitates a uniform assessment of the level of accuracy achieved by a specific user operating a BCI and provides a means of contrasting and selecting performance parameters in order to enhance user performance.

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Life and Health Sciences
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Life and Health Sciences > School of Health Sciences
Research Institutes and Groups:Computer Science Research Institute
Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
ID Code:17346
Deposited By:Professor Maurice Mulvenna
Deposited On:21 Feb 2011 15:45
Last Modified:28 Feb 2012 12:27

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