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HMM BASED REAL TIME FACIAL EXPRESSION RECOGNITION

By A. Punitha and M. Kalaiselvi Geetha

Abstract

The most expressive way humans display emotions is through facial expressions. The aim of facial expression recognition methods is to build a system for classification of facial expressions from continuous video input automatically. The method proposed by Viola and Jones is used to detect the face region. Since the mouth plays a vital role in expressing emotions, the mouth features are used for classifying expressions. The mouth intensity code value (MICV) extracted from the mouth region is used as a feature in this work. This MICV difference between the first and the greatest facial expression intensity frame is used as an input to a Hidden Markov Model (HMM) to recognize facial expression

Topics: HMM
Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.414.1790
Provided by: CiteSeerX
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