Facial Emotion Recognition Model for Social and Psychological Factors Assessment

Facial emotion recognition is turn into enormously significant in various communication methods, for emotion change among societies, which might be estimated like discourse interpretation. Though different scholars in computer vision spoken about it. Most of these study examples are enthusiastic virtuously to visual or virtuously to emotion recognition. By various centered abstract appraisal examines we found that by their visual appearance people distinguish Anger, happiness, Surprise and Dislike. In this work, we will portray how we can utilize facial recognition approach to recognize and understand the psychological assessment approach and social state description from the given content . The first experiment is to recognize the facial emotions of human faces like sadness, happiness, surprise (100% emotional content). The second experiment is to produce a significant social description of the given content. After that in the advance stage of our future research we will combine both of the following stage. Though it’s a research gap but we hope that we will be able to recognize the facial emotions of human faces with the description of the social state together. In this work CNN and LSTM based RNN are customized, trained, and subjected to various classification tasks .All though this project is just an approach to unmask the new possibility for future study and research.