With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …

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 …

Convolutional neural network (CNN) is a very effective method to recognize facial emotions.
However, the preprocessing and selection of parameters of these methods heavily depend …

Facial expression recognition plays a significant role in human behavior detection. In this
study, we present an efficient and fast facial expression recognition system. We introduce a …

Automated facial expression recognition can greatly improve the human-machine interface.
The machine can provide better and more personalized services when it knows the human's …

Facial micro-expression refers to split-second muscle changes in the face, indicating that a
person is either consciously or unconsciously suppressing their true emotions and even …

Facial expression recognition is one of the most active areas of research in computer vision
since one of the non-verbal communication methods by which one understands the …

Recognition of facial expressions plays a major role in many automated system applications
like robotics, education, artificial intelligence, and security. Recognizing facial expressions …

The human face has a great accumulation and a diversity of facial expressions. It explores
the feelings of a person and can be used to judge the emotional intents of the person to a …

Deep learning (DL) has emerged as a powerful image processing technique that learns the
features of the data and produces state-of-the-art prediction results. The decade from 2010 …