An Emotion Recognition Embedded System using a Lightweight Deep Learning Model

BACKGROUND: Diagnosing emotional states would improve human-computer interaction (HCI) systems to be more effective in practice. Correlations between Electroencephalography (EEG) signals and emotions have been shown in various research; therefore, EEG signal-based methods are the most accurate and i...

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Detalles Bibliográficos
Autores principales: Bazargani, Mehdi, Tahmasebi, Amir, Yazdchi, Mohammadreza, Baharlouei, Zahra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559299/
https://www.ncbi.nlm.nih.gov/pubmed/37809016
http://dx.doi.org/10.4103/jmss.jmss_59_22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559299/
https://www.ncbi.nlm.nih.gov/pubmed/37809016
http://dx.doi.org/10.4103/jmss.jmss_59_22

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