Observer Annotation of Affective Display and Evaluation of Expressivity: Face vs. Face-and-body

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dc.contributor.author Gunes, H
dc.contributor.author Piccardi, M
dc.contributor.editor Goecke, R
dc.contributor.editor Robles-Kelly, A
dc.contributor.editor Caelli, T
dc.date.accessioned 2009-11-09T02:45:25Z
dc.date.issued 2006-01
dc.identifier.citation Use of Vision in Human-Computer Interaction: Proceedings of the HCSNet Workshop on the use of vision in human-computer interaction, 2006, 56 pp. 35 - 42
dc.identifier.issn 1445-1336
dc.identifier.other E1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/1809
dc.description.abstract A first step in developing and testing a robust affective multimodal system is to obtain or access data representing human multimodal expressive behaviour. Collected affect data has to be further annotated in order to become usable for the automated systems. Most of the existing studies of emotion or affect annotation are monomodal. Instead, in this paper, we explore how independent human observers annotate affect display from monomodal face data compared to bimodal face-and-body data. To this aim we collected visual affect data by recording the face and face-and-body simultaneously. We then conducted a survey by asking human observers to view and label the face and face-and-body recordings separately. The results obtained show that in general, viewing face-and-body simultaneously helps with resolving the ambiguity in annotating emotional behaviours.
dc.publisher Australian Computer Society
dc.title Observer Annotation of Affective Display and Evaluation of Expressivity: Face vs. Face-and-body
dc.type Conference Proceeding
dc.parent Use of Vision in Human-Computer Interaction: Proceedings of the HCSNet Workshop on the use of vision in human-computer interaction
dc.journal.volume 56
dc.journal.number en_US
dc.publocation Australia en_US
dc.publocation Australia
dc.publocation Australia
dc.publocation Australia
dc.publocation Australia
dc.identifier.startpage 35 en_US
dc.identifier.endpage 42 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference the HCSNet Workshop on the use of vision in human-computer interaction
dc.conference the HCSNet Workshop on the use of vision in human-computer interaction
dc.conference the HCSNet Workshop on the use of vision in human-computer interaction
dc.conference the HCSNet Workshop on the use of vision in human-computer interaction
dc.conference.location Canberra, Australia en_US
dc.for 080104 Computer Vision
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 020073
dc.personcode 034144
dc.percentage 50 en_US
dc.classification.name Pattern Recognition and Data Mining en_US
dc.classification.type FOR-08 en_US
dc.custom the HCSNet Workshop on the use of vision in human-computer interaction en_US
dc.date.activity 20061101 en_US
dc.date.activity 2006-11-01
dc.date.activity 2006-11-01
dc.date.activity 2006-11-01
dc.date.activity 2006-11-01
dc.location.activity Canberra, Australia en_US
dc.location.activity Canberra, Australia
dc.location.activity Canberra, Australia
dc.location.activity Canberra, Australia
dc.location.activity Canberra, Australia
dc.description.keywords Affective face-and-body display, bimodal affect annotation, expressivity evaluation. en_US
dc.description.keywords Affective face-and-body display, bimodal affect annotation, expressivity evaluation.
dc.description.keywords Affective face-and-body display, bimodal affect annotation, expressivity evaluation.
dc.description.keywords Affective face-and-body display, bimodal affect annotation, expressivity evaluation.
dc.description.keywords Affective face-and-body display, bimodal affect annotation, expressivity evaluation.
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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