I
N THE last decade, an always growing interest towards the
use of biological signals, like electroencephalogram (EEG),
electrocardiogram (ECG), electromyogram (EMG), electrodermal
response (EDR), blood pulse volume (BPV), to cite a
few, for the purpose of automatic user recognition is being
witnessed. Within this framework the so-called “cognitive
biometrics” refer to biometric traits which are detected during
cognitive and/or emotional brain states. Therefore, while conventional
biometrics rely on the use of either physiological or
behavioral characteristics, that is on some biological characteristics
the individual “possesses” or on the “way the individual behaves” respectively, cognitive biometrics are based on the
measurement of signals directly or indirectly generated by the
“way the individual thinks” as a distinctive characteristic for
automatic user recognition.