Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks

Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks

Facial expressions are one of the most powerful ways to depict specific patterns in human behavior and describe the human emotional state. However, despite the impressive advances of affective computing over the last decade, automatic video-based systems for facial expression recognition still canno...

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Bibliographic Details
Main Authors:	Thomas Teixeira, Éric Granger, Alessandro Lameiras Koerich
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Applied Sciences
Subjects:	facial expression recognition deep learning convolutional recurrent neural networks inflated 3D CNNs dimensional emotion representation long short-term memory
Online Access:	https://www.mdpi.com/2076-3417/11/24/11738

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