Enhancing nonverbal human computer interaction with expression recognition

Karpouzis, K; Tsapatsoulis, N; Raouzaiou, A; Moshovitis, G; Kollias, S

dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Raouzaiou, A	en
dc.contributor.author	Moshovitis, G	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:49:23Z
dc.date.available	2014-03-01T01:49:23Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25748
dc.subject	Emotion Recognition	en
dc.subject	Human Computer Interaction	en
dc.subject	Image Sequence	en
dc.subject	Integrable System	en
dc.subject	Machine Vision	en
dc.subject	Muscle Activity	en
dc.subject	Area of Interest	en
dc.subject	Motion Vector Field	en
dc.title	Enhancing nonverbal human computer interaction with expression recognition	en
heal.type	journalArticle	en
heal.identifier.primary	10.1145/569244.569245	en
heal.identifier.secondary	http://dx.doi.org/10.1145/569244.569245	en
heal.publicationDate	2000	en
heal.abstract	This paper describes an integrated system for human emotion recognition, which is used to provide feedback about the relevance or impact of the information that is presented to the user. Other techniques in this field extract explicit motion fields from the areas of interest and classify them with the help of templates or training sets; the proposed system, however, compares	en
heal.journalName	ACM Sigcaph Computers and The Physically Handicapped	en
dc.identifier.doi	10.1145/569244.569245	en