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Automatic emotion recognition based on body movement analysis: A survey

dc.contributor.authorZacharatos, H.en
dc.contributor.authorGatzoulis, C.en
dc.contributor.authorChrysanthou, Yiorgos L.en
dc.creatorZacharatos, H.en
dc.creatorGatzoulis, C.en
dc.creatorChrysanthou, Yiorgos L.en
dc.date.accessioned2019-11-13T10:43:01Z
dc.date.available2019-11-13T10:43:01Z
dc.date.issued2014
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/55164
dc.description.abstractHumans are emotional beings, and their feelings influence how they perform and interact with computers. One of the most expressive modalities for humans is body posture and movement, which researchers have recently started exploiting for emotion recognition. This survey describes emerging techniques and modalities related to emotion recognition based on body movement, as well as recent advances in automatic emotion recognition. It also describes application areas and notation systems and explains the importance of movement segmentation. It then discusses unsolved problems and provides promising directions for future research. The Web extra (a PDF file) contains tables with additional information related to the article. © 1981-2012 IEEE.en
dc.sourceIEEE Computer Graphics and Applicationsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84909634518&doi=10.1109%2fMCG.2014.106&partnerID=40&md5=dfe7ebe314829e0bffc3c1d3deef4f58
dc.subjectData Collectionen
dc.subjectMovementen
dc.subjecthumanen
dc.subjectHumansen
dc.subjectemotionen
dc.subjectEmotionsen
dc.subjectinformation processingen
dc.subjectautomationen
dc.subjectmovement (physiology)en
dc.subjectaffective computingen
dc.subjectautomatic emotion recognitionen
dc.subjectbody movement analysisen
dc.subjectcomputer graphicsen
dc.subjectgraphicsen
dc.subjectOn-bodyen
dc.titleAutomatic emotion recognition based on body movement analysis: A surveyen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1109/MCG.2014.106
dc.description.volume34
dc.description.issue6
dc.description.startingpage35
dc.description.endingpage45
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :4</p>en
dc.source.abbreviationIEEE Comput.Graphics Appl.en
dc.contributor.orcidChrysanthou, Yiorgos L. [0000-0001-5136-8890]
dc.gnosis.orcid0000-0001-5136-8890


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