%0 Journal Article
%T Facial Expression Recognition of Various Internal States via Manifold Learning
%A Young-Suk Shin
%A <br>Young-Suk Shin
%A Member
%A IEEE
%J 计算机科学技术学报
%D 2009
%I 
%X 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 ...
%K manifold learning
%K locally linear embedding
%K dimension model
%K pleasure-displeasure dimension
%K arousal-sleep dimension<br>日式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=5421C04ED1ED0B15863B8A54D7D86CF7&yid=DE12191FBD62783C&vid=B91E8C6D6FE990DB&iid=E158A972A605785F&sid=04EA291949415E08&eid=DB7D5E75BD4E2480&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=1&reference_num=30