An approach to emotion recognition in single-channel EEG signals: a mother child interaction. (April 2016)

• Record Type: Journal Article
• Authors: Gómez, A; Quintero, L; López, N; Castro, J
• Is Part Of: Journal of physics. Volume 705(2016)
• Publication Date: 2016-04
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/705/1/012051
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: 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.