Research on Emotion Recognition for Facial Expression Images Based on Hidden Markov Model
نویسندگان
چکیده
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. KeywordsFacial expression; Feature extraction; Hidden Markov model; Emotion recognition
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