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2009
ACM

A performance model of selection techniques for p300-based brain-computer interfaces

9 years 2 months ago
A performance model of selection techniques for p300-based brain-computer interfaces
In this paper, we propose a model to predict the performance of selection techniques using Brain-Computer Interfaces based on P300 signals. This model is based on Markov theory and can compute both the time required to select a target and the number of visual flashes needed. We illustrate how to use this model with three different interaction techniques to select a target. A first experimental evaluation with three healthy participants shows a good match between the model and the experimental data. Author Keywords Brain-Computer Interface, Interaction Technique, P300 Evoked Potential, Markov Chains ACM Classification Keywords H5.2 [Information interfaces and presentation]: User Interfaces. - Theory and methods
Jean-Baptiste Sauvan, Anatole Lécuyer, Fabi
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2009
Where CHI
Authors Jean-Baptiste Sauvan, Anatole Lécuyer, Fabien Lotte, Géry Casiez
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