Facial expression recognition (FER) is currently a very active research topic in the fields of
computer vision, pattern recognition, artificial intelligence, and has drawn extensive …

Facial Expression Recognition (FER), as the primary processing method for non-verbal
intentions, is an important and promising field of computer vision and artificial intelligence …

Recognition of natural emotions from human faces is an interesting topic with a wide range
of potential applications, such as human-computer interaction, automated tutoring systems …

Facial expression recognition (FER) is playing a crucial role in distinct psychological
disorders, human–machine interaction, and a multitude of multimedia applications. The …

Automatic emotion recognition is a critical part of human-machine interactions. Reflection of
emotions and to develop its understanding is crucial to provide dealings across human …

Facial nerve paralysis results in muscle weakness or complete paralysis on one side of the
face. Patients suffer from difficulties in speech, mastication and emotional expression …

We develop a technique using deep neural network for human facial expression recognition.
Images of human faces are preprocessed with photometric normalization and histogram …

Facial expressions are a valuable source of information that accompanies facial biometrics.
Early detection of physiological and psycho-emotional data from facial expressions is linked …

Autism spectrum disorder refers to a neurodevelopmental disorders characterized by
repetitive behavior patterns, impaired social interaction, and impaired verbal and nonverbal …

Automatic recognition of facial expressions is an interesting and challenging research topic
in the field of pattern recognition due to applications such as human–machine interface …