A robust method for automatic emotion detection from face characteristics active shape model meets Support Vector Machines

This research is about development of an intelligent system that can detect human emotions by observing the facial characteristics. The problem is addressed employing Active Shape Models (ASM) structured with a Support Vector Machine (SVM) classifier. We define 4 ratios from features in the human face, using FACS Action Units to classify emotions.