In recent years, facial emotion recognition (FER) has become a prevalent research topic as it can be applied in various areas. The existing FER approaches include handcrafted feature-based methods (HCF) and deep learning methods (DL). HCF methods rely on how good the manual feature extractor can perform. The manually extracted features may be exposed to bias as it depends on the researcher’s prior knowledge of the domain. In contrast, DL methods, especially Convolutional Neural Network (CNN), are good at performing image classification. The downfall of DL methods is that they require extensive data to train and perform recognition efficiently. Hence, we propose a deep learning method based on transfer learning of pre-trained AlexNet archite...
Facial expression recognition (FER) is the key to understanding human emotions and feelings. It is a...
A lot of progress has been made in the field of Facial Emotion Recognition (FER) in the last decade ...
Facial expression recognition is a challenging problem in the scientific field of computer vision. S...
Rapid advancements in Machine Learning (ML) have made it possible to equip computers with the abilit...
Researchers are interested in Facial Emotion Recognition (FER) because it could be useful in many wa...
Facial expressions play a major role in the communication of emotions through nonverbal channels. I...
© 2021 IEEE - All rights reserved. This is the accepted manuscript version of an article which has b...
The primary objective of this study is to develop a real-time system that can predict the emotional ...
The use of deep learning techniques for automatic facial expression recognition has recently attract...
The use of deep learning techniques for automatic facial expression recognition has recently attract...
In recent years, artificial intelligence has been utilized in many applications. One of the prominen...
In recent years, artificial intelligence has been utilized in many applications. One of the prominen...
© 2021 IEEE - All rights reserved. This is the accepted manuscript version of an article which has b...
© 2021 IEEE - All rights reserved. This is the accepted manuscript version of an article which has b...
Facial emotion recognition (FER) is an important topic in the fields of computer vision and artifici...
Facial expression recognition (FER) is the key to understanding human emotions and feelings. It is a...
A lot of progress has been made in the field of Facial Emotion Recognition (FER) in the last decade ...
Facial expression recognition is a challenging problem in the scientific field of computer vision. S...
Rapid advancements in Machine Learning (ML) have made it possible to equip computers with the abilit...
Researchers are interested in Facial Emotion Recognition (FER) because it could be useful in many wa...
Facial expressions play a major role in the communication of emotions through nonverbal channels. I...
© 2021 IEEE - All rights reserved. This is the accepted manuscript version of an article which has b...
The primary objective of this study is to develop a real-time system that can predict the emotional ...
The use of deep learning techniques for automatic facial expression recognition has recently attract...
The use of deep learning techniques for automatic facial expression recognition has recently attract...
In recent years, artificial intelligence has been utilized in many applications. One of the prominen...
In recent years, artificial intelligence has been utilized in many applications. One of the prominen...
© 2021 IEEE - All rights reserved. This is the accepted manuscript version of an article which has b...
© 2021 IEEE - All rights reserved. This is the accepted manuscript version of an article which has b...
Facial emotion recognition (FER) is an important topic in the fields of computer vision and artifici...
Facial expression recognition (FER) is the key to understanding human emotions and feelings. It is a...
A lot of progress has been made in the field of Facial Emotion Recognition (FER) in the last decade ...
Facial expression recognition is a challenging problem in the scientific field of computer vision. S...