Multimodal emotion recognition and expressivity analysis

Kollias, S; Karpouzis, K

dc.contributor.author	Kollias, S	en
dc.contributor.author	Karpouzis, K	en
dc.date.accessioned	2014-03-01T02:43:25Z
dc.date.available	2014-03-01T02:43:25Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31404
dc.subject	Affective Interaction	en
dc.subject	Emotion Recognition	en
dc.subject	Expression Analysis	en
dc.subject	Human Computer Interaction	en
dc.subject	Labeling Scheme	en
dc.subject	Signal Analysis	en
dc.subject	Single Mode	en
dc.subject.other	Database systems	en
dc.subject.other	Human computer interaction	en
dc.subject.other	Interactive computer systems	en
dc.subject.other	Psychology computing	en
dc.subject.other	User interfaces	en
dc.subject.other	Multimodal emotion recognition	en
dc.subject.other	Physiological signal analysis	en
dc.subject.other	Single mode emotion analysis	en
dc.subject.other	Gesture recognition	en
dc.title	Multimodal emotion recognition and expressivity analysis	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICME.2005.1521539	en
heal.identifier.secondary	1521539	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICME.2005.1521539	en
heal.publicationDate	2005	en
heal.abstract	The paper presents the framework of a special session that aims at investigating the best possible techniques for multimodal emotion recognition and expressivity analysis in human computer interaction, based on a common psychological background. The session mainly deals with audio and visual emotion analysis, with physiological signal analysis serving as supplementary to these modalities. Specific topics that are examined include extraction of emotional features and signs from each modality in separate, integration of the outputs of single-mode emotion analysis systems and recognition of the user's emotional state, taking into account emotion models and existing knowledge or demands from both the analysis and synthesis perspective. Various labelling schemes, supply of accordingly labeled test databases, as well as synthesis of expressive avatars and affective interactions, are issues brought up and examined in the proposed framework. © 2005 IEEE.	en
heal.journalName	IEEE International Conference on Multimedia and Expo, ICME 2005	en
dc.identifier.doi	10.1109/ICME.2005.1521539	en
dc.identifier.volume	2005	en
dc.identifier.spage	779	en
dc.identifier.epage	783	en