A neuro-fuzzy approach to user attention recognition

Asteriadis, S; Karpouzis, K; Kollias, S

dc.contributor.author	Asteriadis, S	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:45:03Z
dc.date.available	2014-03-01T02:45:03Z
dc.date.issued	2008	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32112
dc.subject	Eye gaze	en
dc.subject	Facial feature detection	en
dc.subject	Head pose	en
dc.subject	User attention estimation	en
dc.subject.other	Camera parameter	en
dc.subject.other	Extracting information	en
dc.subject.other	Eye gaze	en
dc.subject.other	Facial feature detection	en
dc.subject.other	Head pose	en
dc.subject.other	Lighting conditions	en
dc.subject.other	Neuro-fuzzy approach	en
dc.subject.other	Real-time application	en
dc.subject.other	Specific tasks	en
dc.subject.other	Target group	en
dc.subject.other	User attention	en
dc.subject.other	User attention estimation	en
dc.subject.other	Backpropagation	en
dc.subject.other	Cameras	en
dc.subject.other	Computer monitors	en
dc.subject.other	E-learning	en
dc.subject.other	Internet	en
dc.subject.other	Multimedia systems	en
dc.subject.other	Neural networks	en
dc.subject.other	Eye movements	en
dc.title	A neuro-fuzzy approach to user attention recognition	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-87536-9_95	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-87536-9_95	en
heal.publicationDate	2008	en
heal.abstract	User attention recognition in front of a monitor or a specific task is a crucial issue in many applications, ranging from e-learning to driving. Visual input is very important when extracting information regarding a user's attention when recorded with a camera. However, intrusive equipment (special helmets, glasses equipped with cameras recording the eye movements, etc.) impose constraints on users spontaneity, especially when the target group consists of under aged users. In this paper, we propose a system for inferring user attention (state) in front of a computer monitor, only with the usage of a simple camera. The system can be used for real time applications and does not need calibration in terms of camera parameters. It can function under normal lighting conditions and needs no adaptation for each user. © Springer-Verlag Berlin Heidelberg 2008.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-540-87536-9_95	en
dc.identifier.volume	5163 LNCS	en
dc.identifier.issue	PART 1	en
dc.identifier.spage	927	en
dc.identifier.epage	936	en