Online automatic tuning of the number of repetitions in a P300-based BCI

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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]