Adaptive rule-based facial expression recognition

Ioannou, S; Raouzaiou, A; Karpouzis, K; Pertselakis, M; Tsapatsoulis, N; Kollias, S

dc.contributor.author	Ioannou, S	en
dc.contributor.author	Raouzaiou, A	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Pertselakis, M	en
dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:42:26Z
dc.date.available	2014-03-01T02:42:26Z
dc.date.issued	2004	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31007
dc.subject	Emotion Recognition	en
dc.subject	Expression Profile	en
dc.subject	Facial Expression	en
dc.subject	Facial Expression Recognition	en
dc.subject	Facial Feature Extraction	en
dc.subject	Man-machine Interaction	en
dc.subject	neuro-fuzzy system	en
dc.subject	Rule Based	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Data processing	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Human computer interaction	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Problem solving	en
dc.subject.other	Visualization	en
dc.subject.other	Facial definition parameters (FDP)	en
dc.subject.other	Facial expression recognition	en
dc.subject.other	Facial movements	en
dc.subject.other	Pattern recognition	en
dc.title	Adaptive rule-based facial expression recognition	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-24674-9_49	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-24674-9_49	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	This paper addresses the problem of emotion recognition in faces through an intelligent neuro-fuzzy system, which is capable of analysing facial features extracted following the MPEG-4 standard and classifying facial images according to the underlying emotional states, following rules derived from expression profiles. Results are presented which illustrate the capability of the developed system to analyse and recognise facial expressions in man-machine interaction applications.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/978-3-540-24674-9_49	en
dc.identifier.isi	ISI:000221610800049	en
dc.identifier.volume	3025	en
dc.identifier.spage	466	en
dc.identifier.epage	475	en