Facial emotion recognition: State of the art performance on FER2013
Y Khaireddin, Z Chen - arxiv preprint arxiv:2105.03588, 2021 - arxiv.org
Facial emotion recognition (FER) is significant for human-computer interaction such as
clinical practice and behavioral description. Accurate and robust FER by computer models …
clinical practice and behavioral description. Accurate and robust FER by computer models …
[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 …
Deep-emotion: Facial expression recognition using attentional convolutional network
Facial expression recognition has been an active area of research over the past few
decades, and it is still challenging due to the high intra-class variation. Traditional …
decades, and it is still challenging due to the high intra-class variation. Traditional …
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 …
Local learning with deep and handcrafted features for facial expression recognition
We present an approach that combines automatic features learned by convolutional neural
networks (CNN) and handcrafted features computed by the bag-of-visual-words (BOVW) …
networks (CNN) and handcrafted features computed by the bag-of-visual-words (BOVW) …
Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models
The dramatic impact of the COVID-19 pandemic has resulted in the closure of physical
classrooms and teaching methods being shifted to the online medium. To make the online …
classrooms and teaching methods being shifted to the online medium. To make the online …
Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity
Emotion recognition is defined as identifying human emotion and is directly related to
different fields such as human–computer interfaces, human emotional processing, irrational …
different fields such as human–computer interfaces, human emotional processing, irrational …
A novel facial emotion recognition model using segmentation VGG-19 architecture
Abstract Facial Emotion Recognition (FER) has gained popularity in recent years due to its
many applications, including biometrics, detection of mental illness, understanding of human …
many applications, including biometrics, detection of mental illness, understanding of human …
Federated learning meets human emotions: A decentralized framework for human–computer interaction for IoT applications
As stated by Spock,“change is the essential process of all existence,” which is reflected in
everyday applications in our daily lives. We, as humans, just need to find a way to make the …
everyday applications in our daily lives. We, as humans, just need to find a way to make the …
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 …