Detecting emotions in face using deep learning technique

Identifying the Emotions of Human from the images are the most challenging research task. When it comes to detecting emotional states, deep learning-based algorithms outperform those that use visual processing. The creation of artificial intelligence (AI) system that can recognize emotions in facial expressions is presented in this research. There are three primary processes in the process of emotion detection: Detecting the faces, Extracting the features, and classification. This Deep learning architecture for emotion recognition from photos was presented in this article using convolutional neural networks (CNNs). The suggested approach is assessed based on the Facial Emotion Recognition Challenge and Japanese Female Facial Emotion dataset. There are 70.14% and 98.65% accuracy rates for the FERC-2013 and JAFFE datasets, respectively, with the suggested model.