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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/54303
Title: Analysis of the skeleton of human movement for orthopedics tasks
Authors: Nedzved, O.
Shiping Ye
Chaoxiang Chen
Anosov, V.
Gerasimenko, M.
Sakalouski, O.
Keywords: материалы конференций;walking component;motion estimation;skeleton;automation of orthopedics analysis
Issue Date: 2023
Publisher: BSU
Citation: Analysis 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.
Abstract: Last 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.
URI: https://libeldoc.bsuir.by/handle/123456789/54303
Appears in Collections:Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)

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