PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Simulating the feel of brain-computer interfaces for design, development and social interaction
M. Quek, D. Boland, J. Williamson, R. Murray-Smith, M. Tavella, S. Perdikis, Martijn Schreuder and Michael Tangermann
Proceedings of the 2011 annual conference on Human factors in computing systems, ACM Volume 2011, pp. 25-28, 2011. ISSN 978-1-4503-0228-9


We describe an approach to improving the design and development of Brain-Computer Interface (BCI) applications by simulating the error-prone characteristics and subjective feel of electroencephalogram (EEG), motor-imagery based BCIs. BCIs have the potential to enhance the quality of life of people who are severely disabled, but it is often time-consuming to test and develop the systems. Simulation of BCI characteristics allows developers to rapidly test design options, and gain both subjective and quantitative insight into expected behaviour without using an EEG cap. A further motivation for the use of simulation is that 'impairing' a person without motor disabilities in a game with a disabled BCI user can create a level playing field and help carers empathise with BCI users. We demonstrate a use of the simulator in controlling a game of Brain Pong.

EPrint Type:Article
Additional Information:This work is supported by the European ICT Programme Project TOBI FP7-224631.
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:9379
Deposited By:Martijn Schreuder
Deposited On:16 March 2012