Date
10.05.2005

Time
13:15

Nordlysobservatoriet

'' Machine Learning for Brain Computer Interfacing''Klaus-Robert Mulleri, Fraunhofer FIRST, Berlin

Brain Computer Interfacing (BCI) aims at making use of brain signals
for e.g. the control of objects, spelling, gaming and so on. This
talk will first provide a very brief overview of the current BCI
research
activities. The second part --
now from a machine learning and signal processing perspective -- shows
the wealth, the complexity and the difficulties of the data available,
a truely enormous challenge. In real-time a multi-variate very strongly
noise
contaminated data stream is to be processed and classified.

Finally, I report in more detail about the Berlin Brain Computer
(BBCI) Interface that is based on EEG signals and take the audience
all the way from the measured signal, the preprocessing and filtering,
the classification to the respective application. BCI as a new
channel for man-machine communication is discussed in a clincial
setting and for gaming.

Kontaktperson
Torbjørn Eltoft

Epost
torbjorn.eltoft@phys.uit.no

Tlf/mobil
95007345