Facial emotion recognition (FER) has been an active research topic in the past several
years. One of difficulties in FER is the effective capture of geometrical and temporary …

Owing to the availability of a wide range of emotion recognition applications in our lives,
such as for mental status calculation, the demand for high-performance emotion recognition …

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) is of great interest to the current studies of human-
computer interaction. In this paper, we propose a novel geometry-guided facial expression …

Facial Expression Recognition (FER) has long been a challenging task in the field of
computer vision. Most of the existing FER methods extract facial features on the basis of face …

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 …

Detecting human emotion based on facial expression is considered a hard task for the
computer vision community because of many challenges such as the difference of face …

Facial emotion recognition (FER) is significant for human-computer interaction such as
clinical practice and behavioral description. Accurate and robust FER by computer models …

Classification of human emotions remains an important and challenging task for many
computer vision algorithms, especially in the era of humanoid robots which coexist with …

Facial expression is an unspoken message essential to collaboration and effective
discourse. An inner emotional state of a human is expressed using facial expressions and is …