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

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 processe...

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Autores:

Tipo de recurso:

Fecha de publicación:

2017

Institución:

Universidad de Medellín

Repositorio:

Repositorio UDEM

Idioma:

eng

OAI Identifier:

oai:repository.udem.edu.co:11407/4354

Acceso en línea:

http://hdl.handle.net/11407/4354

Palabra clave:

EEG
Emotion
Features
KNN
QDA
RFC
Wavelet
Biomedical engineering
Electroencephalography
Electrophysiology
Signal processing
Speech recognition
Developmental psychology
Emotion
Emotion recognition
Emotional state
Features
Single channel eeg
Single-channel signals
Wavelet
Biomedical signal processing

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License

http://purl.org/coar/access_right/c_16ec