Affect Recognition from Face and Body: Early Fusion vs. Late Fusion

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dc.contributor.author Gunes, H
dc.contributor.author Piccardi, M
dc.contributor.editor Jamshidi, M
dc.contributor.editor Anderson, G
dc.contributor.editor Tuntsel, R
dc.date.accessioned 2009-11-09T05:36:21Z
dc.date.issued 2005-01
dc.identifier.citation Proceedings of IEEE Systems, Man and Cyberntetics Conference 2005, 2005, pp. 3437 - 3443
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2745
dc.description.abstract This paper presents an approach to automatic visual emotion recognition from two modalities: face and body. Firstly, individual classifiers are trained from individual modalities. Secondly, we fuse facial expression and affective body gesture information first at a feature-level, in which the data from both modalities are combined before classification, and later at a decision-level, in which we integrate the outputs of the monomodal systems by the use of suitable criteria. We then evaluate these two fusion approaches, in terms of performance over monomodal emotion recognition based on facial expression modality only. In the experiments performed the emotion classification using the two modalities achieved a better recognition accuracy outperforming the classification using the individual facial modality. Moreover, fusion at the feature-level proved better recognition than fusion at the decision-level.
dc.publisher IEEE
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon 10.1109/ICSMC.2005.1571679
dc.title Affect Recognition from Face and Body: Early Fusion vs. Late Fusion
dc.type Conference Proceeding
dc.parent Proceedings of IEEE Systems, Man and Cyberntetics Conference 2005
dc.journal.number en_US
dc.publocation Piscataway, USA en_US
dc.publocation Setabal, Portugal
dc.publocation Piscataway, USA
dc.publocation Piscataway, USA
dc.identifier.startpage 3437 en_US
dc.identifier.endpage 3443 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference International Conference on Web Information Systems and Technologies
dc.conference IEEE Conference on Systems, Man and Cybernetics
dc.conference IEEE Conference on Systems, Man and Cybernetics
dc.conference.location Hawaii, USA en_US
dc.for 080602 Computer-Human Interaction
dc.personcode 020073
dc.personcode 034144
dc.percentage 100 en_US
dc.classification.name Computer-Human Interaction en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE Conference on Systems, Man and Cybernetics en_US
dc.date.activity 20051010 en_US
dc.date.activity 2005-05-26
dc.date.activity 2005-10-10
dc.date.activity 2005-10-10
dc.location.activity Hawaii, USA en_US
dc.location.activity Miami, Florida
dc.location.activity Hawaii, USA
dc.location.activity Hawaii, USA
dc.description.keywords human computer interface, affective state analysis, emotion recognition en_US
dc.description.keywords human computer interface, affective state analysis, emotion recognition
dc.description.keywords human computer interface, affective state analysis, emotion recognition
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10


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