CNN Based Efficient Facial Emotion Recognition System for Children

Abstract

An efficient and robust technique for facial expression analysis for the different human face image input is carried out. During the analysis with every dataset, it is analysed through the Convolution Neural network (CNN) method. In order to analyse the facial data in terms of emotions, at this stage of research it is considered with the three different emotions such as Happy, Sad and Anger. For the analysis of facial data for the very rarely occurring disorder autism disorder in the age group around 10 years termed as children age group. As an initial step of analysis of autism disorder emotion expressed through face is a significant symptom hence in the present research is carried out using the freely available Kaggle database to achieve the better accuracy and stability in the obtained results by the proposed technique of methodology. To show the proposed technique is better than the existing algorithms, two different database are considered and cross correlation among the database in terms of its efficiency are considered.