Abstract:
Human face emotion recognition is an easy thing, but it is difficult when someone uses an
algorithm to do this. It's a powerful task and also challenging. Six categories of human face
emotion are recognized here. Expressions: angry, disgusted, fearful, happy, sad, surprised,
and neutral. It detaches all the emotions by AI. Here I work with the FER 2013 data set. At
first, AI detaches a face then extracts the feature and after that classifies the emotion. A
person's affective state, cognitive activity, intention, personality, and psychopathology are
observable manifestations of their facial expression, which plays a communication
function in interpersonal relationships. Automatic facial expression recognition can be a
useful feature in natural human-machine interfaces, as well as in behavioral science and
therapeutic practice.