Facial expressions are an important means of our nonverbal communications.
It has been a significant research area for behavioral scientists. The scientific study of emotion in facial expressions started with the work of Charles Darwin published in 1872. Suwa first attempted to automatically analyze facial expressions by tracking the motion of 20 identified spots in 1978.
A Facial Expression Analysis System is a computer system that tries to automatically capture facial motions and feature changes and combines this knowledge to output the recognized facial expression. The recent advances in motion analysis, face detection, tracking and recognition enables us to build a facial expression recognition system.
We are applying the state of the art techniques in FER to detect fatigue of
commercial and non-commercial vehicle drivers. Currently, our laboratory
focuses on analysis of facial muscle movements (Action Units) on 3D
snapshots of face images using pattern recognition techniques to classify various facial expressions such as fear, sadness, happiness and fatigue.