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Deep learning for micro-expression recognition: A survey
Micro-expressions (MEs) are involuntary facial movements revealing people's hidden
feelings in high-stake situations and have practical importance in various fields. Early …
feelings in high-stake situations and have practical importance in various fields. Early …
Facial micro-expressions: An overview
Micro-expression (ME) is an involuntary, fleeting, and subtle facial expression. It may occur
in high-stake situations when people attempt to conceal or suppress their true feelings …
in high-stake situations when people attempt to conceal or suppress their true feelings …
[HTML][HTML] Artificial intelligence-generated virtual influencer: Examining the effects of emotional display on user engagement
Focusing on the application of artificial intelligence, this study investigates the impact of
emotional display on user engagement with computer-generated imagery influencers …
emotional display on user engagement with computer-generated imagery influencers …
Facial expression recognition with convolutional neural networks via a new face crop** and rotation strategy
With the recent development and application of human–computer interaction systems, facial
expression recognition (FER) has become a popular research area. The recognition of facial …
expression recognition (FER) has become a popular research area. The recognition of facial …
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 …
[HTML][HTML] Emotion recognition at a distance: The robustness of machine learning based on hand-crafted facial features vs deep learning models
Emotion estimation from face expression analysis is nowadays a widely-explored computer
vision task. In turn, the classification of expressions relies on relevant facial features and …
vision task. In turn, the classification of expressions relies on relevant facial features and …
Assessing an on-site customer profiling and hyper-personalization system prototype based on a deep learning approach
The development of artificial intelligence (AI) technologies is proceeding fast across many
fields. Based on a deep learning approach, we propose a prototype of an on-site customer …
fields. Based on a deep learning approach, we propose a prototype of an on-site customer …
Multi-dimensional stereo face reconstruction for psychological assistant diagnosis in medical meta-universe
Virtual reality/augmented reality (VR/AR) technology is very important for meta-cosmic
medicine. It is the technical link between the material world and the virtual world. The …
medicine. It is the technical link between the material world and the virtual world. The …
MERASTC: Micro-Expression Recognition Using Effective Feature Encodings and 2D Convolutional Neural Network
Facial micro-expression (ME) can disclose genuine and concealed human feelings. It makes
MEs extensively useful in real-world applications pertaining to affective computing and …
MEs extensively useful in real-world applications pertaining to affective computing and …
A comprehensive survey on facial micro-expression: approaches and databases
Over the past few years, the importance of the facial micro-expression (FME) has garnered
increasing attention from experts because of its potential applications from the judgment …
increasing attention from experts because of its potential applications from the judgment …