An approach to emotion recognition in single-channel EEG signals using stationarywavelet transform

Gómez, A.; Quintero, L.; López, N.; Castro, J.; Villa, L.; Mejía, G.

An approach to emotion recognition in single-channel EEG signals using stationarywavelet transform

Fecha

2017-01-01

Autores

Gómez, A.

Quintero, L.

López, N.

Castro, J.

Villa, L.

ISSN de la revista

16800737

Editor

SPRINGER

Resumen

In this work, we perform an approach to emotion recognition from Electroencephalography (EEG) single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology. Single channel EEG signals are decomposed by several types of wavelets and each subsignal are processed using several window sizes by performing a statistical analysis. Finally, three types of classifiers were used, obtaining accuracy rate between 50% to 87% for the emotional states such as happiness, sadness and neutrality. © Springer Nature Singapore Pte Ltd. 2017.