Combining spectral and fractal features for emotion recognition on Electroencephalographic signals

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 appro...

Full description

Autores:

Ulloa Villegas, Gonzalo Vicente
Valderrama, Camilo E.

Tipo de recurso:

Article of investigation

Fecha de publicación:

2014

Institución:

Universidad ICESI

Repositorio:

Repositorio ICESI

Idioma:

eng

OAI Identifier:

oai:repository.icesi.edu.co:10906/82313

Acceso en línea:

https://nebulosa.icesi.edu.co:2180/record/display.uri?eid=2-s2.0-84905403981&origin=resultslist&sort=plf-f&src=s&st1=Combining+spectral+and+fractal+features+for+emotion+recognition+on+Electroencephalographic+signals&st2=&sid=3202df997427afbc60b94886b40ced79&sot=b&sdt=b&sl=113&s=TITLE-ABS-KEY%28Combining+spectral+and+fractal+features+for+emotion+recognition+on+Electroencephalographic+signals%29&relpos=0&citeCnt=0&searchTerm=
https://www.semanticscholar.org/paper/Combining-spectral-and-fractal-features-for-emotio-Valderrama-Ulloa/b058db4685e71c91245a609c54d7bc71f35e7b43
http://hdl.handle.net/10906/82313

Palabra clave:

Computación
Ingeniería de sistemas y comunicaciones
Systems engineering
Procedimiento

Rights

openAccess

License

https://creativecommons.org/licenses/by-nc-nd/4.0/