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Study of the Length of time Window in Emotion Recognition based on EEG Signals.

The objective of this research is to present a comparative analysis using various lengths of time windows (TW) during emotion recognition, employing machine learning techniques and the portable wireless sensing device EPOC+. In this study, entropy will be utilized as a feature to evaluate the perfor...

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Publicado en:Revista Mexicana de Ingeniería Biomédica Vol. 45; no. 1; pp. 31 - 43
Autores principales: Jarillo Silva, Alejandro, Gómez Pérez, Víctor Alberto, Domínguez Ramírez, Omar Arturo
Formato: Artículo
Publicado: Sociedad Mexicana de Ingenieria Biomedica, A.C. Jan-Apr2024
Materias:
Emotion recognition
Electroencephalography
Machine learning
Cohen's kappa coefficient (Statistics)
K-nearest neighbor classification
Support vector machines
Logistic regression analysis
Random forest algorithms
Acceso en línea:Ver este registro en EBSCOhost