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dc.contributor.authorMartinovikj, Darkoen_US
dc.contributor.authorMihova, Marijaen_US
dc.contributor.authorJovanov, Mileen_US
dc.date.accessioned2022-08-29T09:14:36Z-
dc.date.available2022-08-29T09:14:36Z-
dc.date.issued2013-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22670-
dc.description.abstractHuman experts in dancing and even the enthusiasts can easily conclude if someone is following the sequence of movements of a dance according to the music. But, if the task is given to the computer, it wouldn’t be an easy task, because the computer can only understand and work with numbers. In this paper we analyse the existing solutions for dance recognition and expand the idea toward building a system for dance recognition of traditional Macedonian folk dances. Different approaches for the used hardware, algorithms and methods are described and compared with Macedonian folk dance characteristics.en_US
dc.publisherFaculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedoniaen_US
dc.subjectMacedonian folk dance characteristics, Dance Recognition, Kinect sensor, gesture Recognitionen_US
dc.titleAnalysis of the problem of Macedonian folk dance recognitionen_US
dc.typeProceeding articleen_US
dc.relation.conferenceThe 10th Conference for Informatics and Information Technology (CIIT 2013)en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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