<i>N</i>-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition

<i>N</i>-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition

Facial expressions are divided into micro- and macro-expressions. Micro-expressions are low-intensity emotions presented for a short moment of about 0.25 s, whereas macro-expressions last up to 4 s. To derive micro-expressions, participants are asked to suppress their emotions as much as possible wh...

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Bibliographic Details
Main Authors: Chaehyeon Lee, Jiuk Hong, Heechul Jung
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
deep learning
image processing
facial micro-expression
emotion recognition
convolutional neural network (CNN)
Online Access:https://www.mdpi.com/1424-8220/22/17/6671

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