A micro-expression is defined as an uncontrollable muscular movement shown on the face of humans when one is trying to conceal or repress his true emotions.
Boyu Chen +5 more
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Facial micro-expression recognition based on motion magnification network and graph attention mechanism [PDF]
Micro-expression is extensively studied due to their ability to fully reflect individuals' genuine emotions. However, accurate micro-expression recognition is a challenging task due to the subtle motion of facial muscle.
Falin Wu +5 more
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Cross-Dataset Facial Micro-Expression Recognition with Regularization Learning and Action Unit-Guided Data Augmentation [PDF]
With the growing development of facial micro-expression recognition technology, its practical application value has attracted increasing attention. In real-world scenarios, facial micro-expression recognition typically involves cross-dataset evaluation ...
Ju Zhou +4 more
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High-Speed Video System for Micro-Expression Detection and Recognition
Micro-expressions play an essential part in understanding non-verbal communication and deceit detection. They are involuntary, brief facial movements that are shown when a person is trying to conceal something.
Diana Borza +3 more
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Facial Micro-Expression Recognition Based on Deep Local-Holistic Network
A micro-expression is a subtle, local and brief facial movement. It can reveal the genuine emotions that a person tries to conceal and is considered an important clue for lie detection.
Jingting Li, Ting Wang, Su-Jing Wang
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Lightweight Micro-Expression Recognition on Composite Database
The potential of leveraging micro-expression in various areas such as security, health care and education has intensified interests in this area. Unlike facial expression, micro-expression is subtle and occurs rapidly, making it imperceptible.
Nur Aishah Ab Razak, Shahnorbanun Sahran
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Emotion-specific AUs for micro-expression recognition [PDF]
AbstractThe Facial Action Coding System (FACS) comprehensively describes facial expressions with facial action units (AUs). It is a well-used technique by researchers in emotions research to understand human emotions better. Most micro-expression datasets provide FACS-coded AU ground truths corresponding to micro-expressions classes.
Shu-Min Leong +2 more
openaire +2 more sources
A Multiview Representation Framework for Micro-Expression Recognition [PDF]
Multiview representation has become important due to its good performance for machine learning problems. In this paper, a multiview representation framework based on transfer learning is proposed for micro-expression recognition.
Tianhuan Huang +5 more
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EEG-Based Micro-Expression Recognition: Flexible Brain Network Reconfiguration Supporting Micro-Expressions Under Positive Emotion [PDF]
Jiejia Chen,1,2,* Xingcong Zhao,1,3,* Zhiheng Xiong,4 Guangyuan Liu1,2 1School of Electronic and Information Engineering, Southwest University, Chongqing, People’s Republic of China; 2Key Laboratory of Cognition and Personality, Ministry of ...
Chen J, Zhao X, Xiong Z, Liu G
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A Survey of Facial Micro-Expression Analysis Methods [PDF]
Micro-expression analysis has been widely used in the medical industry, public safety, business disputes and other fields and has attracted much attention.Manual analysis is challenging because the intensity of micro-expressions is relatively modest and ...
YU Ming, ZHONG Yuanxiang, WANG Yan
doaj +1 more source

