Video-based facial micro-expression analysis: A survey of datasets, features and algorithms

X Ben, Y Ren, J Zhang, SJ Wang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …

Deep learning for micro-expression recognition: A survey

Y Li, J Wei, Y Liu, J Kauttonen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Micro-expressions (MEs) are involuntary facial movements revealing people's hidden
feelings in high-stake situations and have practical importance in various fields. Early …

[图书][B] Skilled interpersonal communication: Research, theory and practice

O Hargie - 2021 - taylorfrancis.com
Established as the foremost textbook on communication, the seventh edition of Owen
Hargie's Skilled Interpersonal Communication is thoroughly revised and updated with the …

Dual-stream shallow networks for facial micro-expression recognition

HQ Khor, J See, ST Liong… - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
Micro-expressions are spontaneous, brief and subtle facial muscle movements that exposes
underlying emotions. Motivated by recent exploits into deep learning for micro-expression …

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 …

Recognizing facial expressions using a shallow convolutional neural network

S Miao, H Xu, Z Han, Y Zhu - IEEE access, 2019 - ieeexplore.ieee.org
Generally, facial expressions could be classified into two categories: static facial
expressions and micro-expressions. There are many promising applications of facial …

GEME: Dual-stream multi-task GEnder-based micro-expression recognition

X Nie, MA Takalkar, M Duan, H Zhang, M Xu - Neurocomputing, 2021 - Elsevier
Recognition of micro-expressions remains a topic of concern considering its brief span and
low intensity. This issue is addressed through convolutional neural networks (CNNs) by …

Recognizing spontaneous micro-expression using a three-stream convolutional neural network

B Song, K Li, Y Zong, J Zhu, W Zheng, J Shi… - Ieee …, 2019 - ieeexplore.ieee.org
Micro-expression recognition (MER) has attracted much attention with various practical
applications, particularly in clinical diagnosis and interrogations. In this paper, we propose a …

Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition

L Zhou, Q Mao, X Huang, F Zhang, Z Zhang - Pattern Recognition, 2022 - Elsevier
Micro-expression recognition has become challenging, as it is extremely difficult to extract
the subtle facial changes of micro-expressions. Recently, several approaches have …

Driver emotions recognition based on improved faster R-CNN and neural architectural search network

K Zaman, Z Sun, SM Shah, M Shoaib, L Pei, A Hussain - Symmetry, 2022 - mdpi.com
It is critical for intelligent vehicles to be capable of monitoring the health and well-being of
the drivers they transport on a continuous basis. This is especially true in the case of …