Electroencephalography Based Fusion Two-Dimensional (2D)-Convolution Neural Networks (CNN) Model for Emotion Recognition System

The purpose of this study is to improve human emotional classification accuracy using a convolution neural networks (CNN) model and to suggest an overall method to classify emotion based on multimodal data. We improved classification performance by combining electroencephalogram (EEG) and galvanic s...

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Detalles Bibliográficos
Autores principales: Kwon, Yea-Hoon, Shin, Sae-Byuk, Kim, Shin-Dug
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982398/
https://www.ncbi.nlm.nih.gov/pubmed/29710869
http://dx.doi.org/10.3390/s18051383

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982398/
https://www.ncbi.nlm.nih.gov/pubmed/29710869
http://dx.doi.org/10.3390/s18051383

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