A neural-network-based approach to adaptive human computer interaction

Votsis, G; Doulamis, ND; Doulamis, AD; Tsapatsoulis, N; Kollias, SD

dc.contributor.author	Votsis, G	en
dc.contributor.author	Doulamis, ND	en
dc.contributor.author	Doulamis, AD	en
dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Kollias, SD	en
dc.date.accessioned	2014-03-01T01:16:01Z
dc.date.available	2014-03-01T01:16:01Z
dc.date.issued	2001	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13883
dc.subject	Content Based Retrieval	en
dc.subject	Effective Interaction	en
dc.subject	Human Computer Interaction	en
dc.subject	Multimedia Systems	en
dc.subject	Relevance Feedback	en
dc.subject	Neural Network	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.title	A neural-network-based approach to adaptive human computer interaction	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/3-540-44668-0_146	en
heal.identifier.secondary	http://dx.doi.org/10.1007/3-540-44668-0_146	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	A neural-network-based approach is proposed in this paper providing multimedia systems with the ability to adapt their performance to the specific needs and characteristics of their users. An emotion recognition system based on facial cues is used to illustrate the performance of this approach. Although some archetypal emotions are considered to be universal, there is no doubt that the way they are expressed diversifies from one individual to the other. The initial generic system is adapted in order to meet the specific user's traits.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	ARTIFICIAL NEURAL NETWORKS-ICANN 2001, PROCEEDINGS	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/3-540-44668-0_146	en
dc.identifier.isi	ISI:000173024600145	en
dc.identifier.volume	2130	en
dc.identifier.spage	1054	en
dc.identifier.epage	1059	en