Deep Joint Spatiotemporal Network (DJSTN) for Efficient Facial Expression Recognition

Understanding a person’s feelings is a very important process for the affective computing. People express their emotions in various ways. Among them, facial expression is the most effective way to present human emotional status. We propose efficient deep joint spatiotemporal features for facial expr...

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Bibliographic Details
Main Authors: Dami Jeong, Byung-Gyu Kim, Suh-Yeon Dong
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/7/1936