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 …

Human facial expressions are an indication of true emotions. To recognize facial
expressions accurately is useful in the field of Artificial Intelligence, Computing, Medical, e …

Facial emotion recognition is a crucial process for many applications and is still unresolved.
Historically, emotional recognition has usually been achieved through artificial intelligence …

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 …

Humans use facial expressions to show their emotional states. However, facial expression
recognition has remained a challenging and interesting problem in computer vision. In this …

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

In this paper, we propose a novel CNN-based model named as Deep Cross Feature
Adaptive Network (DCFA-CNN) for facial expression recognition. The proposed DCFA-CNN …

Human facial emotion recognition (FER) has attracted interest from the scientific community
for its prospective uses. The fundamental goal of FER is to match distinct facial expressions …

Facial emotion recognition (FER) is a vast and complex problem space within the domain of
computer vision and thus requires a universally accepted baseline method with which to …

Emotion recognition from facial images is considered as a challenging task due to the
varying nature of facial expressions. The prior studies on emotion classification from facial …