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Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
Poster++: A simpler and stronger facial expression recognition network
J Mao, R Xu, X Yin, Y Chang, B Nie, A Huang… - Pattern Recognition, 2024 - Elsevier
The POSTER has achieved SOTA performance in facial expression recognition (FER) by
effectively combining facial landmarks and image features through its two-stream pyramid …
effectively combining facial landmarks and image features through its two-stream pyramid …
Flepnet: feature level ensemble parallel network for facial expression recognition
With the advent of deep learning, the research on facial expression recognition (FER) has
received a lot of interest. Different deep convolutional neural network (DCNN) architectures …
received a lot of interest. Different deep convolutional neural network (DCNN) architectures …
Attention-rectified and texture-enhanced cross-attention transformer feature fusion network for facial expression recognition
Facial expression recognition (FER) in the wild is a challenging task for affective computing
in human–machine interaction fields. However, most of the existing methods fail to learn the …
in human–machine interaction fields. However, most of the existing methods fail to learn the …
[HTML][HTML] Detection of human emotions through facial expressions using hybrid convolutional neural network-recurrent neural network algorithm
Cognitive science plays a pivotal role in deciphering human behavior by understanding and
interpreting emotions prevalent in everyday life. These emotions manifest through various …
interpreting emotions prevalent in everyday life. These emotions manifest through various …
[HTML][HTML] Sensors and artificial intelligence methods and algorithms for human–computer intelligent interaction: A systematic map** study
To equip computers with human communication skills and to enable natural interaction
between the computer and a human, intelligent solutions are required based on artificial …
between the computer and a human, intelligent solutions are required based on artificial …
Academic emotion classification using FER: A systematic review
JXY Lek, J Teo - Human Behavior and Emerging Technologies, 2023 - Wiley Online Library
Facial emotion expressions are among the most potent, natural, and powerful means of
human communication. Due to the COVID‐19 pandemic, educational institutions worldwide …
human communication. Due to the COVID‐19 pandemic, educational institutions worldwide …
Real-time implementation of face recognition and emotion recognition in a humanoid robot using a convolutional neural network
Robots can mimic humans, including recognizing faces and emotions. However, relevant
studies have not been implemented in real-time humanoid robot systems. In addition, face …
studies have not been implemented in real-time humanoid robot systems. In addition, face …
A deep-learning-based facial expression recognition method using textural features
Human facial expression and emotion play pivotal roles in our day-to-day communication,
and detecting them are one of the formidable tasks in the field of human–computer …
and detecting them are one of the formidable tasks in the field of human–computer …
Real-time facial expression recognition using deep learning with application in the active classroom environment
The quality of a teaching method used in a classroom can be assessed by observing the
facial expressions of students. To automate this, Facial Expression Recognition (FER) can …
facial expressions of students. To automate this, Facial Expression Recognition (FER) can …