Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications

CA Corneanu, MO Simón, JF Cohn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

A comprehensive survey on automatic facial action unit analysis

R Zhi, M Liu, D Zhang - The Visual Computer, 2020 - Springer
Abstract Facial Action Coding System is the most influential sign judgment method for facial
behavior, and it is a comprehensive and anatomical system which could encode various …

CASME II: An improved spontaneous micro-expression database and the baseline evaluation

WJ Yan, X Li, SJ Wang, G Zhao, YJ Liu, YH Chen, X Fu - PloS one, 2014 - journals.plos.org
A robust automatic micro-expression recognition system would have broad applications in
national safety, police interrogation, and clinical diagnosis. Develo** such a system …

Towards reading hidden emotions: A comparative study of spontaneous micro-expression spotting and recognition methods

X Li, X Hong, A Moilanen, X Huang… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions
that people do not intend to show. Studying MEs is valuable as recognizing them has many …

A spontaneous micro-expression database: Inducement, collection and baseline

X Li, T Pfister, X Huang, G Zhao… - 2013 10th IEEE …, 2013 - ieeexplore.ieee.org
Micro-expressions are short, involuntary facial expressions which reveal hidden emotions.
Micro-expressions are important for understanding humans' deceitful behavior …

A two-stage 3D CNN based learning method for spontaneous micro-expression recognition

S Zhao, H Tao, Y Zhang, T Xu, K Zhang, Z Hao, E Chen - Neurocomputing, 2021 - Elsevier
Micro-expressions (MEs) are spontaneous and involuntary facial subtle reactions which
often reveal the genuine emotions within human beings. Recognizing MEs automatically is …

MESNet: A convolutional neural network for spotting multi-scale micro-expression intervals in long videos

SJ Wang, Y He, J Li, X Fu - IEEE Transactions on Image …, 2021 - ieeexplore.ieee.org
Micro-expression spotting is a fundamental step in the micro-expression analysis. This
paper proposes a novel network based convolutional neural network (CNN) for spotting …

CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces

WJ Yan, Q Wu, YJ Liu, SJ Wang… - 2013 10th IEEE …, 2013 - ieeexplore.ieee.org
Micro-expressions are facial expressions which are fleeting and reveal genuine emotions
that people try to conceal. These are important clues for detecting lies and dangerous …

Microexpression identification and categorization using a facial dynamics map

F Xu, J Zhang, JZ Wang - IEEE Transactions on Affective …, 2017 - ieeexplore.ieee.org
Unlike conventional facial expressions, microexpressions are instantaneous and involuntary
reflections of human emotion. Because microexpressions are fleeting, lasting only a few …

Dual temporal scale convolutional neural network for micro-expression recognition

M Peng, C Wang, T Chen, G Liu, X Fu - Frontiers in psychology, 2017 - frontiersin.org
Facial micro-expression is a brief involuntary facial movement and can reveal the genuine
emotion that people try to conceal. Traditional methods of spontaneous micro-expression …