Transcription of Emotion from facial expression recognition
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Emotion from facial expression recognition
Emotion from facial expression recognition Manuel Gra a, Andoni Beristain Computational Intelligence group University of the Basque Country 1 JCIS 2007, Salt Lake City Contents Motivation facial expressions Automatic facial expression analysis Emotional databases Representative facial expression recognition Systems Conclusions References 2 JCIS 2007, Salt Lake City Contents Motivation facial expressions Automatic facial expression analysis Emotional databases Representative facial expression recognition Systems Conclusions References 3 JCIS 2007, Salt Lake City Motivation Non verbal information prevails over words themselves in human communication (M.)
Emotion recognition through facial expression analysis based on a neurofuzzy network. Neural Networks Face location using SVM. Facial feature extraction: – Eyebrows (morphological edge detection). – Eyes (ANN + refinement with Canny and region growing) – Nostrils (localized dark areas) – Mouth (ANN + mophological gradient + thresholding)
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