Facial Expressions Recognition for Human–Robot Interaction Using Deep Convolutional Neural Networks with Rectified Adam Optimizer

The interaction between humans and an NAO robot using deep convolutional neural networks (CNN) is presented in this paper based on an innovative end-to-end pipeline method that applies two optimized CNNs, one for face recognition (FR) and another one for the facial expression recognition (FER) in or...

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Detalles Bibliográficos
Autores principales: Melinte, Daniel Octavian, Vladareanu, Luige
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219340/
https://www.ncbi.nlm.nih.gov/pubmed/32340140
http://dx.doi.org/10.3390/s20082393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219340/
https://www.ncbi.nlm.nih.gov/pubmed/32340140
http://dx.doi.org/10.3390/s20082393

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