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 …

Facial expression recognition (FER) has an important role in intelligent human–computer
interaction. The complexity and confusion of target emotions and the subjectivity of …

In facial expression recognition (FER), global and local features obtained from the same
face may have different recognition accuracy, indicating that they have different advantages …

When exploring facial expression recognition methods, it is found that existing algorithms
make insufficient use of information about the key parts that express emotion. For this …

This paper proposes a new method based on a multiple branch cross-connected
convolutional neural network (MBCC-CNN) for facial expression recognition. Compared with …

E-learning enables the dissemination of valuable academic information to all users
regardless of where they are situated. One of the challenges faced by e-learning systems is …

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 …

Artificial intelligence has been successfully applied in various fields, one of which is
computer vision. In this study, a deep neural network (DNN) was adopted for Facial emotion …

Facial expression recognition (FER) plays an important role in the applications of human
computer interaction. Given the wide use of convolutional neural networks (CNNs) in …

Facial expressions play an important role in conveying the emotional states of human
beings. Recently, deep learning approaches have been applied to image recognition field …