Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
S Zhang, Y Yang, C Chen, X Zhang, Q Leng… - Expert Systems with …, 2024 - Elsevier
Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …
applications to human–computer interaction. The expression of human emotion depends on …
A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
Emoca: Emotion driven monocular face capture and animation
As 3D facial avatars become more widely used for communication, it is critical that they
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …
Deep learning-based facial emotion recognition for human–computer interaction applications
MK Chowdary, TN Nguyen, DJ Hemanth - Neural Computing and …, 2023 - Springer
One of the most significant fields in the man–machine interface is emotion recognition using
facial expressions. Some of the challenges in the emotion recognition area are facial …
facial expressions. Some of the challenges in the emotion recognition area are facial …
Generative adversarial networks for face generation: A survey
Recently, generative adversarial networks (GANs) have progressed enormously, which
makes them able to learn complex data distributions in particular faces. More and more …
makes them able to learn complex data distributions in particular faces. More and more …
Facial emotion recognition using transfer learning in the deep CNN
Human facial emotion recognition (FER) has attracted the attention of the research
community for its promising applications. Map** different facial expressions to the …
community for its promising applications. Map** different facial expressions to the …
Video-based facial micro-expression analysis: A survey of datasets, features and algorithms
Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …
facial expressions capable of revealing the genuine emotions that people attempt to hide …
Region attention networks for pose and occlusion robust facial expression recognition
Occlusion and pose variations, which can change facial appearance significantly, are two
major obstacles for automatic Facial Expression Recognition (FER). Though automatic FER …
major obstacles for automatic Facial Expression Recognition (FER). Though automatic FER …
Comprehensive review of artificial neural network applications to pattern recognition
The era of artificial neural network (ANN) began with a simplified application in many fields
and remarkable success in pattern recognition (PR) even in manufacturing industries …
and remarkable success in pattern recognition (PR) even in manufacturing industries …
Facial expression recognition with visual transformers and attentional selective fusion
Facial Expression Recognition (FER) in the wild is extremely challenging due to occlusions,
variant head poses, face deformation and motion blur under unconstrained conditions …
variant head poses, face deformation and motion blur under unconstrained conditions …