TY  - JOUR 
TI  - Combining spectral and fractal features for emotion recognition on Electroencephalographic signals
PB  - World Scientific and Engineering Academy and Society
PY  - 2014
issn 17905052
AB  - Recent studies have attempted to recognize emotions by extracting spectral and fractal features from electroencephalographic signals; however, up to now none of them have combined these two features to recognize emotions. This paper aims at providing a comparison between an accuracy rate of an approach that recognizes emotions by extracting both spectral and fractal features with that of those that extract only one of these features. To this end, we designed and implemented a procedure that recognizes positive and negative emotions by extracting spectral, fractal, or both features. Next, using this procedure, we built three different approaches to recognize positive and negative emotions; the first one extracted both spectral and fractal features, whereas the other two extracted each type of feature separately.
KW  - Computación
KW  - Ingeniería de sistemas y comunicaciones
KW  - Systems engineering
KW  - Procedimiento
UR  - http://hdl.handle.net/10906/82313
ER  -