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

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2017-01-01

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Gómez, A.
Quintero, L.
López, N.
Castro, J.
Villa, L.

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SPRINGER

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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.

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