[HTML][HTML] A survey on human face expression recognition techniques
IM Revina, WRS Emmanuel - Journal of King Saud University-Computer …, 2021 - Elsevier
Abstract Human Face expression Recognition is one of the most powerful and challenging
tasks in social communication. Generally, face expressions are natural and direct means for …
tasks in social communication. Generally, face expressions are natural and direct means for …
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
B Pan, K Hirota, Z Jia, Y Dai - Neurocomputing, 2023 - Elsevier
Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …
interaction (HCI). The goal of affective computing is to study and develop the theories …
Real-time video emotion recognition based on reinforcement learning and domain knowledge
Multimodal emotion recognition in conversational videos (ERC) develops rapidly in recent
years. To fully extract the relative context from video clips, most studies build their models on …
years. To fully extract the relative context from video clips, most studies build their models on …
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 …
[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 …
Facial expression recognition with LBP and ORB features
B Niu, Z Gao, B Guo - Computational Intelligence and …, 2021 - Wiley Online Library
Emotion plays an important role in communication. For human–computer interaction, facial
expression recognition has become an indispensable part. Recently, deep neural networks …
expression recognition has become an indispensable part. Recently, deep neural networks …
A survey of ai-based facial emotion recognition: Features, ml & dl techniques, age-wise datasets and future directions
Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
Variational instance-adaptive graph for EEG emotion recognition
The individual differences and the dynamic uncertain relationships among different
electroencephalogram (EEG) regions are essential factors that limit EEG emotion …
electroencephalogram (EEG) regions are essential factors that limit EEG emotion …
A novel pipeline framework for multi oriented scene text image detection and recognition
Automatic text detection and recognition (end-to-end text recognition) in real-life images are
the main elements of many applications including blind and low vision assistance systems …
the main elements of many applications including blind and low vision assistance systems …
Self-supervised exclusive-inclusive interactive learning for multi-label facial expression recognition in the wild
Facial Expression Recognition (FER) is a long-standing but challenging research problem in
computer vision. Existing approaches mainly focus on single-label emotional prediction …
computer vision. Existing approaches mainly focus on single-label emotional prediction …