[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
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 …
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Advances in human-centric smart manufacturing (HSM) reflect a trend towards the
integration of human-in-the-loop with technologies, to address challenges of human …
integration of human-in-the-loop with technologies, to address challenges of human …
[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 …
Survey of emotions in human–robot interactions: Perspectives from robotic psychology on 20 years of research
R Stock-Homburg - International Journal of Social Robotics, 2022 - Springer
Abstract Knowledge production within the interdisciplinary field of human–robot interaction
(HRI) with social robots has accelerated, despite the continued fragmentation of the …
(HRI) with social robots has accelerated, despite the continued fragmentation of the …
Deploying machine learning techniques for human emotion detection
Emotion recognition is one of the trending research fields. It is involved in several
applications. Its most interesting applications include robotic vision and interactive robotic …
applications. Its most interesting applications include robotic vision and interactive robotic …
Facial expression recognition using computer vision: A systematic review
Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …
applications in the contemporary world: marketing, psychology, surveillance, and …
[PDF][PDF] 3D image processing using machine learning based input processing for man-machine interaction
A Sungheetha, R Sharma - Journal of Innovative Image Processing …, 2021 - academia.edu
In various real time applications, several assisted services are provided by the human-robot
interaction (HRI). The concept of convergence of a three-dimensional (3D) image into a …
interaction (HRI). The concept of convergence of a three-dimensional (3D) image into a …
RETRACTED ARTICLE: A comprehensive survey on generative adversarial networks used for synthesizing multimedia content
L Kumar, DK Singh - Multimedia Tools and Applications, 2023 - Springer
GAN's are playing an important role in creating and generating a new set of data from the
previously available content. GAN models are impressive in the results for image and video …
previously available content. GAN models are impressive in the results for image and video …
Facial expression recognition method with multi-label distribution learning for non-verbal behavior understanding in the classroom
The automatical recognition of human facial expression has attracted attention in the field of
computer vision and machine learning. Previous works on this topic set many constraints …
computer vision and machine learning. Previous works on this topic set many constraints …