Facial Expression Recognition of Various Internal States via Manifold Learning |
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Authors: | Young-Suk Shin |
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Affiliation: | Department of Information and Communication Engineering, Chosun University, #375 Seosuk-dong, Dong-gu, Gwangju 501-759, Korea |
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Abstract: | Emotions are becoming increasingly important in human-centered interaction architectures.Recognition of facial expressions,which are central to human-computer interactions,seems natural and desirable.However,facial expressions include mixed emotions,continuous rather than discrete,which vary from moment to moment.This paper represents a novel method of recognizing facial expressions of various internal states via manifold learning,to achieve the aim of humancentered interaction studies.A critical review of ... |
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Keywords: | manifold learning locally linear embedding dimension model pleasure-displeasure dimension arousal-sleep dimension |
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