期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：5519
DOI：10.15680/IJIRCCE.2017.0503112
出版社：S&S Publications
摘要：This survey work is much essential since facial expression has much importance in the field of machinesimulation in artificial intelligence. Several techniques were proposed in the industry for this analysis in which theymake use of several action units(Eyes, Lips) via Fuzzy C Means *(FCM) Clustering Algorithm and are beinginterlinked with one another and manipulated together for expressions classification such as anger, happy, sadness etcbut also the system concentrates on the analysis of individual units referred as patterns which are observed by usingAdaptively Weighted Sub Pattern Principal Component Analysis(AW-SPPCA) with Support Vector Machines (SVM)which are used along Hidden Markov Model(HMM) for pattern tracking and expression classification.
关键词：Support Vector Machines; Hidden Markov Model; Adaptively Weighted Sub Pattern Principal;Component Analysis; Action Units; Fuzzy C Means Clustering.
