Difference between revisions of "Online automatic tuning of the number of repetitions in a P300-based BCI"
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Revision as of 19:11, 18 June 2009
Contents
Part 1: project profile
Project name
Online automatic tuning of the number of repetitions in a P300-based BCI
Project short description
In a P300-based BCI, (visual) stimuli are presented to the user, and the intention of the user is recognized when a P300 potential is recognized in response of the desired stimulus. In order to improve accuracy, many stimulation rounds are usually performed before making a decision. The exact number of repetitions depends on the user and the goodness of the classifier, but it is usually fixed a-priori. The aim of this project is to adapt the number of repetitions to changing conditions, so as to achieve the maximum accuracy with the minimum time.
Dates
Start date: 18/06/08
End date:
People involved
Project head(s)
Matteo Matteucci [1]
Other Politecnico di Milano people
Bernardo Dal Seno [2]
Students currently working on the project
Siegfried Cattaneo [3]