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dc.contributor.authorAbbasi, NI
dc.contributor.authorSong, S
dc.contributor.authorGunes, H
dc.date.accessioned2022-06-21T23:30:41Z
dc.date.available2022-06-21T23:30:41Z
dc.date.issued2022
dc.identifier.isbn9781665405409
dc.identifier.issn1520-6149
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/338272
dc.description.abstractChild facial expression recognition is a relatively less investigated area within affective computing. Children's facial expressions differ significantly from adults; thus, it is necessary to develop emotion recognition frameworks that are more objective, descriptive and specific to this target user group. In this paper we propose the first approach that (i) constructs video-level heterogeneous graph representation for facial expression recognition in children, and (ii) predicts children's facial expressions using the automatically detected Action Units (AUs). To this aim, we construct three separate length-independent representations, namely, statistical, spectral and graph at video-level for detailed multi-level facial behaviour decoding (AU activation status, AU temporal dynamics and spatio-temporal AU activation patterns, respectively). Our experimental results on the LIRIS Children Spontaneous Facial Expression Video Database demonstrate that combining these three feature representations provides the highest accuracy for expression recognition in children.
dc.publisherIEEE
dc.rightsAll Rights Reserved
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserved
dc.titleSTATISTICAL, SPECTRAL AND GRAPH REPRESENTATIONS FOR VIDEO-BASED FACIAL EXPRESSION RECOGNITION IN CHILDREN
dc.typeConference Object
dc.publisher.departmentDepartment of Computer Science And Technology
dc.date.updated2022-06-20T15:21:42Z
prism.endingPage1729
prism.publicationDate2022
prism.publicationNameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
prism.startingPage1725
prism.volume2022-May
dc.identifier.doi10.17863/CAM.85680
rioxxterms.versionofrecord10.1109/ICASSP43922.2022.9747102
rioxxterms.versionAM
dc.contributor.orcidGunes, Hatice [0000-0003-2407-3012]
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/R030782/1)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Societal Challenges (826232)
pubs.conference-nameICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
pubs.conference-start-date2022-05-23
cam.orpheus.successMon Jun 27 07:19:08 BST 2022 - Embargo updated
cam.depositDate2022-06-20
pubs.conference-finish-date2022-05-27
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2023-05-23


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