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 conferenciaArtículoInvestigación

1 Cita (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 → …

Huella dactilar

Electroencephalography
Statistical methods
Classifiers
Experiments

Citar esto

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
Gómez, A. ; Quintero, L. ; López, N. ; Castro-Martínez, Jaime ; Villa, L. ; Mejía, G. / An approach to emotion recognition in single-channel EEG signals using stationarywavelet transform. Papel presentado en IFMBE Proceedings, .4 p.
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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' Papel presentado en, 1/01/17, pp. 654-657. https://doi.org/10.1007/978-981-10-4086-3_164

An approach to emotion recognition in single-channel EEG signals using stationarywavelet transform. / Gómez, A.; Quintero, L.; López, N.; Castro-Martínez, Jaime; Villa, L.; Mejía, G.

2017. 654-657 Papel presentado en IFMBE Proceedings, .

Resultado de la investigación: Contribución a una conferenciaArtículoInvestigación

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AB - © 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.

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