Humans have traditionally found it simple to identify emotions from facial expressions, but it
is far more difficult for a computer system to do the same. The social signal processing …

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 …

Facial expressions play an important role in non-verbal communication processes to identify
people and recognize emotions. This article proposes a deep convolution neural network …

Emotion recognition from facial expression is the subfield of social signal processing which
is applied in wide variety of areas, specifically for human and computer interaction. Many …

Emotion Recognition is an important area of work to improve the interaction between human
and machine. Complexity of emotion makes the acquisition task more difficult. Quondam …

Facial emotion recognition has an important position in the computer vision and artificial
intelligence field. In addition, real-time face recognition applications have to be able to be …

Emotion on our face can determine our feelings, mental state and can directly impact our
decisions. Humans are subjected to undergo an emotional change in relation to their living …

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 …

░ ABSTRACT-Facial emotion recognition has been very popular area for researchers in last
few decades and it is found to be very challenging and complex task due to large intra-class …

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 …