Applying Self-Supervised Representation Learning for Emotion Recognition Using Physiological Signals

The use of machine learning (ML) techniques in affective computing applications focuses on improving the user experience in emotion recognition. The collection of input data (e.g., physiological signals), together with expert annotations are part of the established standard supervised learning metho...

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Detalles Bibliográficos
Autores principales: Montero Quispe, Kevin G., Utyiama, Daniel M. S., dos Santos, Eulanda M., Oliveira, Horácio A. B. F., Souto, Eduardo J. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736913/
https://www.ncbi.nlm.nih.gov/pubmed/36501803
http://dx.doi.org/10.3390/s22239102

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736913/
https://www.ncbi.nlm.nih.gov/pubmed/36501803
http://dx.doi.org/10.3390/s22239102

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