Call For Paper Volume:4 Issue:10 Oct'2017 |

Research on Emotion Recognition for Facial Expression Images Based on Hidden Markov Model

Publication Date : 31/01/2015



Author(s) :

Jing Mu , Fang Chen , Changyuan Wang.


Volume/Issue :
Volume 2
,
Issue 1
(01 - 2015)



Abstract :

This paper introduces emotion recognition for facial expression images using Hidden Markov Model (HMM). Firstly, facial expression images are transformed using discrete cosine transformation and feature is extraction; then HMMs of facial expression images are constructed, and the observation vectors are generated using sub-window, hence, process of emotion recognition for facial expression images is realized. The experiments on JAFFE database are made to recognize the seven emotions of the subjects, the recognition rates are above 80%, so emotion recognition for facial expression images based on HMM is an effective method.


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Research on Emotion Recognition for Facial Expression Images Based on Hidden Markov Model

January 30, 2015