Facial emotion recognition with the hidden Markov model

Abstract

This paper presents a simple algorithm for an automatic recognition of facial expressions. First we extract feature points, and then we define distances using these features. The variation of these distances is used to characterize the transition from one emotion to another. Our approach is based on the use of a hidden Markov model whose states can recognize facial expressions.