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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/306233
Title: Analysis of the skeleton of human movement for orthopedics tasks
Authors: Nedzved, Olga
Ye, Shiping
Chen, Chaoxiang
Anosov, Viktor
Gerasimenko, Mikhail
Sakalouski, Oleg
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
Issue Date: 2023
Publisher: Minsk : BSU
Citation: Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 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://elib.bsu.by/handle/123456789/306233
ISBN: 978-985-881-522-6
Licence: info:eu-repo/semantics/openAccess
Appears in Collections:2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons

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