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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/54303
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dc.contributor.authorNedzved, O.-
dc.contributor.authorShiping Ye-
dc.contributor.authorChaoxiang Chen-
dc.contributor.authorAnosov, V.-
dc.contributor.authorGerasimenko, M.-
dc.contributor.authorSakalouski, O.-
dc.coverage.spatialМинскen_US
dc.date.accessioned2024-02-21T11:22:09Z-
dc.date.available2024-02-21T11:22:09Z-
dc.date.issued2023-
dc.identifier.citationAnalysis of the skeleton of human movement for orthopedics tasks / O. Nedzved [et al.] // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 202–208.en_US
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/54303-
dc.description.abstractLast time a few algorithm for human pose detection was developed. As rule, the basic element for pose description is skeleton. It is possible extract many important information from such object for orthopedics task. In this paper algorithm for automatic estimation of walking motion is proposed on base reconstruction human skeleton and definition of harmonic component of walking.en_US
dc.language.isoenen_US
dc.publisherBSUen_US
dc.subjectматериалы конференцийen_US
dc.subjectwalking componenten_US
dc.subjectmotion estimationen_US
dc.subjectskeletonen_US
dc.subjectautomation of orthopedics analysisen_US
dc.titleAnalysis of the skeleton of human movement for orthopedics tasksen_US
dc.typeArticleen_US
Appears in Collections:Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)

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