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 …
[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 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 …
Facial expression recognition with convolutional neural networks via a new face cropping 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 …
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 …
[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 …
A survey of micro-expression recognition
L Zhou, X Shao, Q Mao - Image and Vision Computing, 2021 - Elsevier
The limited capacity to recognize micro-expressions with subtle and rapid motion changes is
a long-standing problem that presents a unique challenge for expression recognition …
a long-standing problem that presents a unique challenge for expression recognition …
Student behavior recognition in classroom using deep transfer learning with VGG-16
TB Abdallah, I Elleuch, R Guermazi - Procedia Computer Science, 2021 - Elsevier
Tracking numerous students' behavior by observing and questioning them is a difficult task.
Therefore, several methods based on automatic facial expression recognition have been …
Therefore, several methods based on automatic facial expression recognition have been …
MERASTC: Micro-Expression Recognition Using Effective Feature Encodings and 2D Convolutional Neural Network
P Gupta - IEEE Transactions on Affective Computing, 2021 - ieeexplore.ieee.org
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 …