The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals

This study aimed to design an optimal emotion recognition method using multiple physiological signal parameters acquired by bio-signal sensors for improving the accuracy of classifying individual emotional responses. Multiple physiological signals such as respiration (RSP) and heart rate variability...

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Detalles Bibliográficos
Autores principales: Oh, SeungJun, Lee, Jun-Young, Kim, Dong Keun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038703/
https://www.ncbi.nlm.nih.gov/pubmed/32041226
http://dx.doi.org/10.3390/s20030866

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038703/
https://www.ncbi.nlm.nih.gov/pubmed/32041226
http://dx.doi.org/10.3390/s20030866

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