Brain
Computer Interfaces (BCI) represent a new communication option
for those suffering from neuromuscular impairment that prevents
them from using conventional augmented communication methods.
This new approach has been developing quickly during the last
few years, thanks to the increasing of computational power and
the new algorithms for signal processing (Independent Component
Analysis, Wavelets decomposition, Support Vector Machine etc.)
that can be applied to the studies made on brain waves. Here follows
two methodologies of approach based on making the computer adapt
to the human brain activity and not vice-versa. The P300 and the
SSVEP based BCIs, here presented, have the characteristics of
not demanding specific training to the user.
