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

Gunes, H; Piccardi, M

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

Gunes, H Piccardi, M

Permalink

Publisher:: Australian Computer Society
Publication Type:: Conference Proceeding
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
Issue Date:: 2006-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (595.51 kB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Gunes, H	en_US
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604	en_US
dc.contributor.editor	Goecke, R	en_US
dc.contributor.editor	Robles-Kelly, A	en_US
dc.contributor.editor	Caelli, T	en_US
dc.date	2006-11-01	en_US
dc.date.issued	2006-01	en_US
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	en_US
dc.identifier.issn	1445-1336	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.	en_US
dc.publisher	Australian Computer Society	en_US
dc.relation.ispartof	Use of Vision in Human-Computer Interaction: Proceedings of the HCSNet Workshop on the use of vision in human-computer interaction	en_US
dc.relation.ispartof	the HCSNet Workshop on the use of vision in human-computer interaction	en_US
dc.title	Observer Annotation of Affective Display and Evaluation of Expressivity: Face vs. Face-and-body	en_US
dc.type	Conference Proceeding
utslib.citation.volume	56	en_US
utslib.location	Australia	en_US
utslib.location.activity	Canberra, Australia	en_US
utslib.for	080104 Computer Vision	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Canberra, Australia	en_US
pubs.embargo.period	Not known	en_US
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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Australia	en_US
pubs.start-date	2006-11-01	en_US
pubs.volume	56	en_US

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/1809