dc.contributor.author | Zacharatos, H. | en |
dc.contributor.author | Gatzoulis, C. | en |
dc.contributor.author | Chrysanthou, Yiorgos L. | en |
dc.creator | Zacharatos, H. | en |
dc.creator | Gatzoulis, C. | en |
dc.creator | Chrysanthou, Yiorgos L. | en |
dc.date.accessioned | 2019-11-13T10:43:01Z | |
dc.date.available | 2019-11-13T10:43:01Z | |
dc.date.issued | 2014 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/55164 | |
dc.description.abstract | Humans 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.source | IEEE Computer Graphics and Applications | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84909634518&doi=10.1109%2fMCG.2014.106&partnerID=40&md5=dfe7ebe314829e0bffc3c1d3deef4f58 | |
dc.subject | Data Collection | en |
dc.subject | Movement | en |
dc.subject | human | en |
dc.subject | Humans | en |
dc.subject | emotion | en |
dc.subject | Emotions | en |
dc.subject | information processing | en |
dc.subject | automation | en |
dc.subject | movement (physiology) | en |
dc.subject | affective computing | en |
dc.subject | automatic emotion recognition | en |
dc.subject | body movement analysis | en |
dc.subject | computer graphics | en |
dc.subject | graphics | en |
dc.subject | On-body | en |
dc.title | Automatic emotion recognition based on body movement analysis: A survey | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1109/MCG.2014.106 | |
dc.description.volume | 34 | |
dc.description.issue | 6 | |
dc.description.startingpage | 35 | |
dc.description.endingpage | 45 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :4</p> | en |
dc.source.abbreviation | IEEE Comput.Graphics Appl. | en |
dc.contributor.orcid | Chrysanthou, Yiorgos L. [0000-0001-5136-8890] | |
dc.gnosis.orcid | 0000-0001-5136-8890 | |