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

A. Gómez, L. Quintero, N. López, Jaime Castro-Martínez, L. Villa, G. Mejía

Resultado de la investigación: Contribución a una conferenciaPaper

5 Citas (Scopus)

Resumen

© Springer Nature Singapore Pte Ltd. 2017. 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.
Idioma originalInglés estadounidense
Páginas654-657
Número de páginas4
DOI
EstadoPublicada - 1 ene 2017
EventoIFMBE Proceedings -
Duración: 1 ene 2017 → …

Conferencia

ConferenciaIFMBE Proceedings
Período1/01/17 → …

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    Gómez, A., Quintero, L., López, N., Castro-Martínez, J., Villa, L., & Mejía, G. (2017). An approach to emotion recognition in single-channel EEG signals using stationarywavelet transform. 654-657. Papel presentado en IFMBE Proceedings, . https://doi.org/10.1007/978-981-10-4086-3_164