An overview of facial micro-expression analysis: Data, methodology and challenge
Facial micro-expressions indicate brief and subtle facial movements that appear during
emotional communication. In comparison to macro-expressions, micro-expressions are …
emotional communication. In comparison to macro-expressions, micro-expressions are …
Feature representation learning with adaptive displacement generation and transformer fusion for micro-expression recognition
Micro-expressions are spontaneous, rapid and subtle facial movements that can neither be
forged nor suppressed. They are very important nonverbal communication clues, but are …
forged nor suppressed. They are very important nonverbal communication clues, but are …
cGAN based facial expression recognition for human-robot interaction
As an emerging research topic for proximity service (ProSe), automatic emotion recognition
enables the machines to understand the emotional changes of human beings which can not …
enables the machines to understand the emotional changes of human beings which can not …
Using facial micro-expressions in combination with EEG and physiological signals for emotion recognition
Emotions are multimodal processes that play a crucial role in our everyday lives.
Recognizing emotions is becoming more critical in a wide range of application domains …
Recognizing emotions is becoming more critical in a wide range of application domains …
Classification of Individual's discrete emotions reflected in facial microexpressions using electroencephalogram and facial electromyogram
Facial microexpressions are defined as brief, subtle, and involuntary movements of facial
muscles reflecting genuine emotions that a person tries to conceal. Because …
muscles reflecting genuine emotions that a person tries to conceal. Because …
A comparative study on optical flow for facial expression analysis
Optical flow techniques are becoming increasingly performant and robust when estimating
motion in a scene, but their performance has yet to be proven in the area of facial expression …
motion in a scene, but their performance has yet to be proven in the area of facial expression …
Tackling micro-expression data shortage via dataset alignment and active learning
X Ben, C Gong, T Huang, C Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The research on micro-expression recognition has been drawing great attention in recent
years, because of its great potential in the lie detection, clinical diagnosis, and national …
years, because of its great potential in the lie detection, clinical diagnosis, and national …
Multi-Stream Deep Convolution Neural Network With Ensemble Learning for Facial Micro-Expression Recognition
Micro-expression recognition has gained much attention in research communities. Among
its proposed solutions, deep learning approaches have shown promising results over the …
its proposed solutions, deep learning approaches have shown promising results over the …
Human emotion recognition with relational region-level analysis
Recognizing the emotional state of a person within the image in real-world scenarios is a
key problem in affective computing and has various promising applications. Local regions in …
key problem in affective computing and has various promising applications. Local regions in …
Differential beta desynchronisation responses to dynamic emotional facial expressions are attenuated in higher trait anxiety and autism
CA Charidza, H Gillmeister - Cognitive, Affective, & Behavioral …, 2022 - Springer
Daily life demands that we differentiate between a multitude of emotional facial expressions
(EFEs). The mirror neuron system (MNS) is becoming increasingly implicated as a neural …
(EFEs). The mirror neuron system (MNS) is becoming increasingly implicated as a neural …