Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review

This article introduces a systematic review on arousal classification based on electrodermal activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six scientific databases, fifty-nine were finally selected according to various criteria established. The systematic...

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Detalles Bibliográficos
Autores principales: Sánchez-Reolid, Roberto, López de la Rosa, Francisco, Sánchez-Reolid, Daniel, López, María T., Fernández-Caballero, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695360/
https://www.ncbi.nlm.nih.gov/pubmed/36433482
http://dx.doi.org/10.3390/s22228886

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695360/
https://www.ncbi.nlm.nih.gov/pubmed/36433482
http://dx.doi.org/10.3390/s22228886

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