FACIAL EMOTION RECOGNITION

Abstract

Facial Emotion is the noticeable indication of the full of affective state, cognitive activity, intension, personality, and psychopathology of an individual and plays a communicative role in interpersonal relations. Automatic recognition of facial emotion can be a significant part of normal human-machine interfaces; it might likewise be utilized in conduct science and in clinical practice. An automatic Facial Emotion Recognition framework requirement to perform identification and area of countenances in a jumbled scene, facial component extraction, and look characterization. The facial emotion recognition framework is carried out utilizing the Deep Convolution Neural Network (DCNN). The CNN model of the undertaking depends on LeNet Architecture. Kaggle Facial Expression Dataset (FER-2013) with seven facial feelings named as happy, sad, surprise, fear, anger, disgust, and neutral is utilized in this venture. The framework accomplished 65% ± 5% accuracy.