Identifying Complex Emotions in Alexithymia Affected Adolescents Using Machine Learning Techniques

Many scientific researchers’ study focuses on enhancing automated systems to identify emotions and thus relies on brain signals. This study focuses on how brain wave signals can be used to classify many emotional states of humans. Electroencephalography (EEG)-based affective computing predominantly...

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Detalles Bibliográficos
Autores principales: ArulDass, Stephen Dass, Jayagopal, Prabhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777297/
https://www.ncbi.nlm.nih.gov/pubmed/36553197
http://dx.doi.org/10.3390/diagnostics12123188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777297/
https://www.ncbi.nlm.nih.gov/pubmed/36553197
http://dx.doi.org/10.3390/diagnostics12123188

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