FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network

Using multimodal signals to solve the problem of emotion recognition is one of the emerging trends in affective computing. Several studies have utilized state of the art deep learning methods and combined physiological signals, such as the electrocardiogram (EEG), electroencephalogram (ECG), skin te...

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Detalles Bibliográficos
Autores principales: Tan, Clarence, Ceballos, Gerardo, Kasabov, Nikola, Puthanmadam Subramaniyam, Narayan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571195/
https://www.ncbi.nlm.nih.gov/pubmed/32957655
http://dx.doi.org/10.3390/s20185328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571195/
https://www.ncbi.nlm.nih.gov/pubmed/32957655
http://dx.doi.org/10.3390/s20185328

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