Facial Expression Recognition Using an Improved Embedded HMM

ZHENG Fang-Ying, ZHAO Jie-Yu

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Pattern Recognition and Artificial Intelligence ›› 2008, Vol. 21 ›› Issue (6) : 836-842.
Researches and Applications

Facial Expression Recognition Using an Improved Embedded HMM

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Abstract

An embedded hidden markov model (e-HMM) based approach for facial expression recognition is proposed. It makes use of an optimized set of observation vectors obtained from the 2D-DCT coefficients of the facial region of interest. The e-HMM is trained with segmental K-means algorithm and used for the facial expression recognition. The experimental results show the remarkable improvement of the performance and robustness of the facial expression recognition system.

Key words

Embedded Hidden Markov Model (e-HMM) / Affective Computing / Facial Feature Extraction

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ZHENG Fang-Ying , ZHAO Jie-Yu. Facial Expression Recognition Using an Improved Embedded HMM. Pattern Recognition and Artificial Intelligence. 2008, 21(6): 836-842

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