Facial sentiment analysis using AI techniques: state-of-the-art, taxonomies, and challenges
With the advancements in machine and deep learning algorithms, the envision of various
critical real-life applications in computer vision becomes possible. One of the applications is …
critical real-life applications in computer vision becomes possible. One of the applications is …
Identifying emotions from facial expressions using a deep convolutional neural network-based approach
Sentiment identification on facial expression is an interesting study domain with applications
in various disciplines, including security, health, and human-machine interfaces. The main …
in various disciplines, including security, health, and human-machine interfaces. The main …
Facial emotion recognition using conventional machine learning and deep learning methods: Current achievements, analysis and remaining challenges
AR Khan - Information, 2022 - mdpi.com
Facial emotion recognition (FER) is an emerging and significant research area in the pattern
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
Deep convolution network based emotion analysis towards mental health care
Facial expressions play an important role during communications, allowing information
regarding the emotional state of an individual to be conveyed and inferred. Research …
regarding the emotional state of an individual to be conveyed and inferred. Research …
Facial emotion recognition in verbal communication based on deep learning
MF Alsharekh - Sensors, 2022 - mdpi.com
Facial emotion recognition from facial images is considered a challenging task due to the
unpredictable nature of human facial expressions. The current literature on emotion …
unpredictable nature of human facial expressions. The current literature on emotion …
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 …
Real-time facial expression recognition using smoothed deep neural network ensemble
NK Benamara, M Val-Calvo… - Integrated …, 2021 - content.iospress.com
Facial emotion recognition (FER) has been extensively researched over the past two
decades due to its direct impact in the computer vision and affective robotics fields …
decades due to its direct impact in the computer vision and affective robotics fields …
Facial expression recognition using convolutional neural network with data augmentation
Detecting emotion from facial expression has become an urgent need because of its
immense applications in artificial intelligence such as human-computer collaboration, data …
immense applications in artificial intelligence such as human-computer collaboration, data …
A survey on facial emotion recognition techniques: A state-of-the-art literature review
FZ Canal, TR Müller, JC Matias, GG Scotton… - Information …, 2022 - Elsevier
In this survey, a systematic literature review of the state-of-the-art on emotion expression
recognition from facial images is presented. The paper has as main objective arise the most …
recognition from facial images is presented. The paper has as main objective arise the most …