Heuristics for the analysis of emotions using encephalographic signals
DOI:
https://doi.org/10.18687/LACCEI2023.1.1.650Palabras clave:
heuristics, Emotions, EEG, Emotiv Epoc X, Wavelet.Resumen
Human emotions are characteristics that define their behavior, over time they have been studied more frequently in various areas. This article presents a heuristic to validate the analysis of emotions when a human being is exposed to content visualization, the emotion capture method used is the Emotiv Epoc X headband. The objective is to define a metric that allows comparing the result of the signals obtained, with an emotion classification test, in this case it is proposed to use the SAM test. For the treatment of the signals obtained, the Wavelet transform is used.Descargas
Publicado
2023-07-27
Número
Sección
Articles
Derechos de autor
Derechos de autor 2023 LACCEI
Licencia
Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.
Cómo citar
Gelvez García, Nancy Yaneth, Rojas Contreras, Mauricio, & Montenegro Marín, Carlos. (2023). Heuristics for the analysis of emotions using encephalographic signals. LACCEI, 1(8). https://doi.org/10.18687/LACCEI2023.1.1.650