HEAL DSpace

Detecting human behavior emotional cues in natural interaction

Αποθετήριο DSpace/Manakin

Εμφάνιση απλής εγγραφής

dc.contributor.author Caridakis, G en
dc.contributor.author Asteriadis, S en
dc.contributor.author Karpouzis, K en
dc.contributor.author Kollias, S en
dc.date.accessioned 2014-03-01T02:47:20Z
dc.date.available 2014-03-01T02:47:20Z
dc.date.issued 2011 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/33079
dc.subject Affective computing en
dc.subject Eye Gaze en
dc.subject Gesture expressivity en
dc.subject Natural Interaction en
dc.subject.other Affective Computing en
dc.subject.other Agent interaction en
dc.subject.other Assistive technology en
dc.subject.other Eye-gaze en
dc.subject.other Facial movements en
dc.subject.other Gesture expressivity en
dc.subject.other Head pose en
dc.subject.other Human behaviors en
dc.subject.other Human users en
dc.subject.other Natural interactions en
dc.subject.other Non-verbal human en
dc.subject.other Real time en
dc.subject.other Virtual agent en
dc.subject.other Digital signal processing en
dc.subject.other Eye movements en
dc.subject.other Signal detection en
dc.subject.other Social sciences en
dc.subject.other Virtual reality en
dc.subject.other Behavioral research en
dc.title Detecting human behavior emotional cues in natural interaction en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICDSP.2011.6004962 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICDSP.2011.6004962 en
heal.identifier.secondary 6004962 en
heal.publicationDate 2011 en
heal.abstract Current work focuses on the detection of human behavior emotional cues and their incorporation into affect aware Natural Interaction. Techniques for extracting emotional cues based on visual non verbal human behavior are presented. Namely, gesture qualitative expressivity features and head pose and eye gaze estimation are derived from hand and facial movement respectively. Extracted emotional cues are employed in expressive synthesis on virtual agents, based on the analysis of actions performed by human users, in a Human-Virtual Agent Interaction setting and in Assistive Technologies aiming to infer in real time the degree of attention or frustration of children with reading difficulties. © 2011 IEEE. en
heal.journalName 17th DSP 2011 International Conference on Digital Signal Processing, Proceedings en
dc.identifier.doi 10.1109/ICDSP.2011.6004962 en


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