Emotion Analysis in Man-Machine Interaction Systems

Balomenos, T; Raouzaiou, A; Ioannou, S; Drosopoulos, A; Karpouzis, K; Kollias, S

dc.contributor.author	Balomenos, T	en
dc.contributor.author	Raouzaiou, A	en
dc.contributor.author	Ioannou, S	en
dc.contributor.author	Drosopoulos, A	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:49:38Z
dc.date.available	2014-03-01T02:49:38Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34659
dc.subject	Artificial Intelligent	en
dc.subject	Facial Expression	en
dc.subject	Image Sequence	en
dc.subject	Information Processing	en
dc.subject	Man-machine Interaction	en
dc.subject	Rule Based System	en
dc.subject	Agent Based	en
dc.title	Emotion Analysis in Man-Machine Interaction Systems	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-30568-2_27	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-30568-2_27	en
heal.publicationDate	2004	en
heal.abstract	ABSTRACT Facial expression ,and ,hand ,gesture analysis plays a fundamental,part in emotionally ,rich man-machine ,in- teraction (MMI) systems, since it employs universally accepted,non-verbal cues to estimate ,the users’ emo- tional state. In this paper, we present a systematic ap- proach,to extracting ,expression ,related features from image sequences,and inferring an emotional state via an intelligent rule-based system. MMI systems can benefit	en
heal.journalName	Machine Learning for Multimodal Interaction	en
dc.identifier.doi	10.1007/978-3-540-30568-2_27	en