Facial and Body Feature Extraction for Emotionally-Rich HCI

Karpouzis, K; Drosopoulos, A; Ioannou, S; Raouzaiou, A; Tsapatsoulis, N; Kollias, S

dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Drosopoulos, A	en
dc.contributor.author	Ioannou, S	en
dc.contributor.author	Raouzaiou, A	en
dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:54:13Z
dc.date.available	2014-03-01T01:54:13Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27253
dc.relation.uri	http://www.image.ece.ntua.gr/papers/314.pdf	en
dc.subject	Artificial Intelligent	en
dc.subject	Facial Expression	en
dc.subject	Feature Extraction	en
dc.subject	Man-machine Interaction	en
dc.title	Facial and Body Feature Extraction for Emotionally-Rich HCI	en
heal.type	journalArticle	en
heal.publicationDate	2005	en
heal.abstract	Introduction Emotionally-aware Man-Machine Interaction (MMI) systems are presently at the forefront of interest of the computer vision and artificial intelligence communities, since they give the opportunity to less technology-aware people to use computers more efficiently, overcoming fears and preconceptions. Most emotion-related facial and body gestures are considered to be universal, in the sense that they are recognized along different cultures;	en