文章基本信息

标题：Emotion Classification Using Facial Expression
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作者：Devi Arumugam ; Dr. S. Purushothaman B.E, M.E
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2011
卷号：2
期号：7
DOI：10.14569/IJACSA.2011.020714
出版社：Science and Information Society (SAI)
摘要：Human emotional facial expressions play an important role in interpersonal relations. This is because humans demonstrate and convey a lot of evident information visually rather than verbally. Although humans recognize facial expressions virtually without effort or delay, reliable expression recognition by machine remains a challenge as of today. To automate recognition of emotional state, machines must be taught to understand facial gestures. In this paper we developed an algorithm which is used to identify the person’s emotional state through facial expression such as angry, disgust, happy. This can be done with different age group of people with different situation. We Used a Radial Basis Function network (RBFN) for classification and Fisher’s Linear Discriminant (FLD), Singular Value Decomposition (SVD) for feature selection.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Universal Emotions; FLD; SVD; Eigen Values; Eigen Vector; RBF Network.