Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …

Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …

Facial expression for emotion detection has always been an easy task for humans, but
achieving the same task with a computer algorithm is quite challenging. With the recent …

Facial emotion recognition (FER) is an emerging and significant research area in the pattern
recognition domain. In daily life, the role of non-verbal communication is significant, and in …

Facial emotion recognition (FER) is an important topic in the fields of computer vision and
artificial intelligence owing to its significant academic and commercial potential. Although …

In the last few years, a great deal of interesting research has been achieved on automatic
facial emotion recognition (FER). FER has been used in a number of ways to make human …

Facial emotion recognition from facial images is considered a challenging task due to the
unpredictable nature of human facial expressions. The current literature on emotion …

In the past decade, facial emotion recognition (FER) research saw tremendous progress,
which led to the development of novel convolutional neural network (CNN) architectures for …

Facial emotion recognition (FER) has been extensively researched over the past two
decades due to its direct impact in the computer vision and affective robotics fields …

Automatic emotion recognition based on facial expression is an interesting research field,
which has presented and applied in several areas such as safety, health and in human …