Mimicking adaptation processes in the human brain with neural network retraining

Malatesta, L; Raouzaiou, A; Caridakis, G; Karpouzis, K

dc.contributor.author	Malatesta, L	en
dc.contributor.author	Raouzaiou, A	en
dc.contributor.author	Caridakis, G	en
dc.contributor.author	Karpouzis, K	en
dc.date.accessioned	2014-03-01T02:44:50Z
dc.date.available	2014-03-01T02:44:50Z
dc.date.issued	2007	en
dc.identifier.issn	15715736	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31960
dc.subject	Adaptive Neural Network	en
dc.subject	Affective State	en
dc.subject	Environmental Change	en
dc.subject	Facial Expression	en
dc.subject	Human Brain	en
dc.subject	Human Computer Interaction	en
dc.subject	Neural Network	en
dc.title	Mimicking adaptation processes in the human brain with neural network retraining	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-0-387-74161-1_43	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-0-387-74161-1_43	en
heal.publicationDate	2007	en
heal.abstract	Human brain processes undergo cycles of adaptation in order to meet the requirements of novel conditions. In affective state recognition, brain processes tend to adapt to new subjects as well as environmental changes. By using adaptive neural network architectures and by collecting and analysing data from specific environments we present an effective approach in mimicking these processes and modelling the way the need for adaptation is detected as well as the actual adaptation. Video sequences of subjects displaying emotions are used as data for our classifier. Facial expressions and body gestures are used as system input and system output quality is monitored in order to identify when retraining is required. This architecture can be used as an automatic analyzer of human affective feedback in human computer interaction applications. © 2007 International Federation for Information Processing.	en
heal.journalName	IFIP International Federation for Information Processing	en
dc.identifier.doi	10.1007/978-0-387-74161-1_43	en
dc.identifier.volume	247	en
dc.identifier.spage	399	en
dc.identifier.epage	408	en