AI Based Facial Expression Recognition for Autism Children
Mohammad Salafsha Afrin, S. Ezhilin Freeda, S. Elakia, P. Kannan · SSRN Electronic Journal · 2019
In Automatic facial expression recognition is a challenging problem in computer vision, and has gained significant importance in the applications of human-computer interactions. The vital component of any successful expression recognition system is an effective facial representation from face images. In this project, we have derived an appearance-based feature descriptor, the Local Directional Pattern variance (LDPv), which characterizes both the texture and contrast information of facial components. The feature dimension is then reduced by extracting the most discriminative elements of the representation with Principal Component Analysis (PCA). The recognition performance based on our LDPv descriptor has been evaluated using Cohn-Kanade expression database with a CNN classifier.This project has been verified using Matlab simulation.