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 …
New trends in emotion recognition using image analysis by neural networks, a systematic review
Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …
classifying human emotional expressions. FER systems are currently used in a vast range of …
Transfer: Learning relation-aware facial expression representations with transformers
Facial expression recognition (FER) has received increasing interest in computer vision. We
propose the TransFER model which can learn rich relation-aware local representations. It …
propose the TransFER model which can learn rich relation-aware local representations. It …
Learning deep global multi-scale and local attention features for facial expression recognition in the wild
Facial expression recognition (FER) in the wild received broad concerns in which occlusion
and pose variation are two key issues. This paper proposed a global multi-scale and local …
and pose variation are two key issues. This paper proposed a global multi-scale and local …
Facial emotion recognition using convolutional neural networks (FERC)
N Mehendale - SN Applied Sciences, 2020 - Springer
Facial expression for emotion detection has always been an easy task for humans, but
achieving the same task with a computer algorithm is quite challenging. With the recent …
achieving the same task with a computer algorithm is quite challenging. With the recent …
Efficient facial expression recognition algorithm based on hierarchical deep neural network structure
With the continued development of artificial intelligence (AI) technology, research on
interaction technology has become more popular. Facial expression recognition (FER) is an …
interaction technology has become more popular. Facial expression recognition (FER) is an …
Facial expression recognition using local gravitational force descriptor-based deep convolution neural networks
An image is worth a thousand words; hence, a face image illustrates extensive details about
the specification, gender, age, and emotional states of mind. Facial expressions play an …
the specification, gender, age, and emotional states of mind. Facial expressions play an …
[HTML][HTML] Multi-feature fusing local directional ternary pattern for facial expressions signal recognition based on video communication system
L Yan, Y Shi, M Wei, Y Wu - Alexandria Engineering Journal, 2023 - Elsevier
In the field of Automatic Facial Expression Signal Recognition (AFESR) at video
communication system, the fusing feature extraction is playing an extremely important role in …
communication system, the fusing feature extraction is playing an extremely important role in …
Interest point based face recognition using adaptive neuro fuzzy inference system
MR Rejeesh - Multimedia Tools and Applications, 2019 - Springer
In this paper, an efficient face recognition method using AGA and ANFIS-ABC has been
proposed. At first stage, the face images gathered from the database are preprocessed. At …
proposed. At first stage, the face images gathered from the database are preprocessed. At …
Dpcnet: Dual path multi-excitation collaborative network for facial expression representation learning in videos
Current works of facial expression learning in video consume significant computational
resources to learn spatial channel feature representations and temporal relationships. To …
resources to learn spatial channel feature representations and temporal relationships. To …