[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
[PDF][PDF] Facial expression recognition based on deep learning convolution neural network: A review
SMS Abdullah, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Facial emotional processing is one of the most important activities in effective calculations,
engagement with people and computers, machine vision, video game testing, and consumer …
engagement with people and computers, machine vision, video game testing, and consumer …
Multimodal emotion recognition using deep learning
New research into human-computer interaction seeks to consider the consumer's emotional
status to provide a seamless human-computer interface. This would make it possible for …
status to provide a seamless human-computer interface. This would make it possible for …
Real time emotion recognition from facial expressions using CNN architecture
MA Ozdemir, B Elagoz, A Alaybeyoglu… - 2019 medical …, 2019 - ieeexplore.ieee.org
Emotion is an important topic in different fields such as biomedical engineering, psychology,
neuroscience and health. Emotion recognition could be useful for diagnosis of brain and …
neuroscience and health. Emotion recognition could be useful for diagnosis of brain and …
Self-attention fusion for audiovisual emotion recognition with incomplete data
In this paper, we consider the problem of multi-modal data analysis with a use case of
audiovisual emotion recognition. We propose an architecture capable of learning from raw …
audiovisual emotion recognition. We propose an architecture capable of learning from raw …
Facial expression recognition based on improved residual network
W Zhang, X Zhang, Y Tang - IET Image Processing, 2023 - Wiley Online Library
Facial expressions are an important part of human emotional signals and their recognition
has become an important topic of research in the field of pattern recognition. Deep learning …
has become an important topic of research in the field of pattern recognition. Deep learning …
An efficient facial emotion recognition system using novel deep learning neural network-regression activation classifier
S Ch - Multimedia Tools and Applications, 2021 - Springer
In the computer vision field, FER encompasses a significant place. It is being studied for a
long period, and in recent decades, it has attained progress, but all is in vain, since …
long period, and in recent decades, it has attained progress, but all is in vain, since …
Robustness comparison between the capsule network and the convolutional network for facial expression recognition
As an important part of human-computer interactions, facial expression recognition has
become a popular research topic in computer vision, pattern recognition, artificial …
become a popular research topic in computer vision, pattern recognition, artificial …
Thermoacoustic environment comfort evaluation method based on facial micro-expression recognition
S Hu, J Sun, J Zhang, G Liu, S Zhao - Building and Environment, 2022 - Elsevier
At present, subjective questionnaire surveys and physiological parameters measured are
mainly used to collect the comprehensive response of humans to the environment …
mainly used to collect the comprehensive response of humans to the environment …
Real-life dynamic facial expression recognition: a review
SM Saleem, SRM Zeebaree… - Journal of Physics …, 2021 - iopscience.iop.org
In emotion studies, critiques of the use of a static facial expression have been directed to its
resulting from poor ecological validity. We conducted a study of studies in the present work …
resulting from poor ecological validity. We conducted a study of studies in the present work …