Facial Behavior Recognition Using Soft Computing Techniques: A Survey

Abstract

Human facial behaviour recognition can be defined as the process of identifying human internal feelings or mood from the classification of facial expression and gesture. Human facial expression and gesture recognition have a many real world applications such as Human Machine Intelligent Interaction (HMII), Smart rooms, Advance Driver Assistance Systems (ADAS), Intelligent Robotics, Monitoring and Surveillance, Gaming, Research on pain and depression, Health support appliances. Facial Expression Recognition is challenging problem up till now because of many reasons, moreover, it consists of three sub challenging tasks face detection, facial feature extraction and expression classification. Soft computing is a computer science field that applies to the problem whose solution is unpredictable or inexact. Digital image processing works effectively together with soft computing techniques to improve efficiency of recognizing human facial behaviour through machine. This paper gives a review on the mechanisms of human facial behavior recognition using soft computing techniques, which includes a brief detail on framework, literature survey and key issues in facial behaviour recognition using soft computing.