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Assessing the Accessibility of a Domestic Brain Computer Interface and the Implications for Future Design Choices

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

Ware, Melanie, Lightbody, G, McCullagh, PJ, Mulvenna, Maurice, Martin, Suzanne and Thomson, E (2011) Assessing the Accessibility of a Domestic Brain Computer Interface and the Implications for Future Design Choices. In: Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on , Corfu. IEEE Xplore. 5 pp. [Conference contribution]

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DOI: 10.1109/ITAB.2010.5687690

Abstract

Brain-Computer Interfaces (BCI) are seen as a potential solution in overcoming some of the restraints that individuals with highly restricted movement face in their daily life; for instance the ability to operate appliances independently, to communicate, and to access forms of entertainment. Recently in the laboratory many successes have been reported and outreach studies have suggested that BCIs dedicated to supporting individuals with physical impairments are possible. This leads to the posing of a question. Are ubiquitous domestic brain-computer interface achievable and if so what would this entail? The BRAIN project is dedicated to answering this question. In doing this there are many aspects to be considered. In this paper we focus upon what is involved in providing a suitable BCI system to an individual, what levels of tolerance are required to make the technology a practical and usable proposition in a domestic environment and what design and technical trade-offs should be considered.

Item Type:Conference contribution (Paper)
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
Computer Science Research Institute > Smart Environments
Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
ID Code:17414
Deposited By:Dr Paul McCullagh
Deposited On:09 Nov 2011 12:20
Last Modified:28 Feb 2012 11:54

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