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ARTNet for Micro-Expression Recognition [PDF]

open access: yesSensors
The field of micro-expression recognition (MER) has garnered considerable attention for its potential to reveal an individual’s genuine emotional state. However, MER remains a formidable challenge, primarily due to the subtle nature and brief duration of
Chao Wan   +4 more
doaj   +6 more sources

The effect of facial attractiveness on micro-expression recognition [PDF]

open access: yesFrontiers in Psychology, 2022
Micro-expression (ME) is an extremely quick and uncontrollable facial movement that lasts for 40–200 ms and reveals thoughts and feelings that an individual attempts to cover up.
Qiongsi Lin   +6 more
doaj   +4 more sources

Emotional context influences micro-expression recognition. [PDF]

open access: yesPLoS ONE, 2014
Micro-expressions are often embedded in a flow of expressions including both neutral and other facial expressions. However, it remains unclear whether the types of facial expressions appearing before and after the micro-expression, i.e., the emotional ...
Ming Zhang   +3 more
doaj   +6 more sources

The Influence of Face Masks on Micro-Expression Recognition [PDF]

open access: yesBehavioral Sciences
This study aimed to explore the influence of various mask attributes on the recognition of micro-expressions (happy, neutral, and fear) and facial favorability under different background emotional conditions (happy, neutral, and fear).
Yunqiu Zhang, Chuanlin Zhu
doaj   +4 more sources

Dual Temporal Scale Convolutional Neural Network for Micro-Expression Recognition [PDF]

open access: yesFrontiers in Psychology, 2017
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 recognition rely excessively on sophisticated hand-crafted feature design ...
Min Peng   +9 more
doaj   +4 more sources

Decoupling facial motion features and identity features for micro-expression recognition [PDF]

open access: yesPeerJ Computer Science, 2022
Background Micro-expression is a kind of expression produced by people spontaneously and unconsciously when receiving stimulus. It has the characteristics of low intensity and short duration. Moreover, it cannot be controlled and disguised.
Tingxuan Xie   +4 more
doaj   +3 more sources

Micro-attention for micro-expression recognition [PDF]

open access: yesNeurocomputing, 2020
Micro-expression, for its high objectivity in emotion detection, has emerged to be a promising modality in affective computing. Recently, deep learning methods have been successfully introduced into the micro-expression recognition area. Whilst the higher recognition accuracy achieved, substantial challenges in micro-expression recognition remain.
Chongyang Wang, Min Peng, Tong Chen
exaly   +4 more sources

Transcranial Direct Current Stimulation Over the Right Temporal Parietal Junction Facilitates Spontaneous Micro-Expression Recognition [PDF]

open access: yesFrontiers in Human Neuroscience, 2022
Micro-expressions are fleeting and subtle emotional expressions. As they are spontaneous and uncontrollable by one’s mind, micro-expressions are considered an indicator of genuine emotions.
Yue Ge   +16 more
doaj   +2 more sources

Lightweight ViT Model for Micro-Expression Recognition Enhanced by Transfer Learning [PDF]

open access: yesFrontiers in Neurorobotics, 2022
As opposed to macro-expressions, micro-expressions are subtle and not easily detectable emotional expressions, often containing rich information about mental activities.
Yanju Liu   +5 more
doaj   +2 more sources

OFF-ApexNet on micro-expression recognition system [PDF]

open access: yesSignal Processing: Image Communication, 2019
When a person attempts to conceal an emotion, the genuine emotion is manifest as a micro-expression. Exploration of automatic facial micro-expression recognition systems is relatively new in the computer vision domain. This is due to the difficulty in implementing optimal feature extraction methods to cope with the subtlety and brief motion ...
Y S Gan, Sze-Teng Liong, Wei-Chuen Yau
exaly   +4 more sources

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