An approach to emotion recognition in single-channel EEG signals: A mother child interaction
Fecha
2016-01-01
Título de la revista
ISSN de la revista
Título del volumen
Editor
IOP PUBLISHING LTD
Resumen
In this work, we perform a first approach to emotion recognition from EEG single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology. Single channel EEG signals are analyzed and processed using several window sizes by performing a statistical analysis over features in the time and frequency domains. Finally, a neural network obtained an average accuracy rate of 99% of classification in two emotional states such as happiness and sadness.