Control of sports exercises and diagnostics of diseases of the musculoskeletal system using hardware and software complex and machine learning algorithm
Authors:
1.
Moscow Institute of Physics and Technology (State University)
(Department of Computational Physics, associate professor)
Moscow, Russian Federation
Moscow, Russian Federation
2.
Acceleration LLC
(specialist po korporativnomu zdorov'yu, reabilitolog)
Moscow, Russian Federation
Moscow, Russian Federation
3.
Acceleration Digital LLC
Moscow, Russian Federation
Moscow, Russian Federation
4.
Lomonosov Moscow State University
Acceleration Digital LLC
Moscow, Russian Federation
Acceleration Digital LLC
Moscow, Russian Federation
5.
Moscow Institute of Physics and Technology (State University)
(Department of Computational Physics, Head of the Department)
Dolgoprudny, Moscow, Russian Federation
Dolgoprudny, Moscow, Russian Federation
Type:
Article
Pages:
from 8
to 12
Status:
Published
Received:
28.12.2023
Accepted:
22.01.2024
Published:
13.03.2024
Subject area:
VAK Russia 1.1.10
VAK Russia 1.2.1
VAK Russia 1.2.2
VAK Russia 3.1.33
VAK Russia 5.8.5
VAK Russia 5.8.6
UDC 355.233.22
UDC 796.012
UDC 004.93
CSCSTI 77.00
CSCSTI 20.00
Russian Classification of Professions by Education 02.00.00
Russian Classification of Professions by Education 32.00.00
Russian Classification of Professions by Education 49.06.01
Russian Library and Bibliographic Classification 22
Russian Library and Bibliographic Classification 58
Russian Library and Bibliographic Classification 75
Russian Trade and Bibliographic Classification 5
BISAK COM014000 Computer Science
BISAK COM018000 Data Processing
BISAK COM062000 Data Modeling & Design
BISAK COM089000 Data Visualization
BISAK COM077000 Mathematical & Statistical Software
BISAK COM051300 Programming / Algorithms
BISAK HEA007000 Exercise
BISAK YAN024040 Health & Daily Living / Fitness & Exercise
BISAK BIO016000 Sports
VAK Russia 1.2.1
VAK Russia 1.2.2
VAK Russia 3.1.33
VAK Russia 5.8.5
VAK Russia 5.8.6
UDC 355.233.22
UDC 796.012
UDC 004.93
CSCSTI 77.00
CSCSTI 20.00
Russian Classification of Professions by Education 02.00.00
Russian Classification of Professions by Education 32.00.00
Russian Classification of Professions by Education 49.06.01
Russian Library and Bibliographic Classification 22
Russian Library and Bibliographic Classification 58
Russian Library and Bibliographic Classification 75
Russian Trade and Bibliographic Classification 5
BISAK COM014000 Computer Science
BISAK COM018000 Data Processing
BISAK COM062000 Data Modeling & Design
BISAK COM089000 Data Visualization
BISAK COM077000 Mathematical & Statistical Software
BISAK COM051300 Programming / Algorithms
BISAK HEA007000 Exercise
BISAK YAN024040 Health & Daily Living / Fitness & Exercise
BISAK BIO016000 Sports
Language:
English
Keywords:
musculoskeletal system, pose estimation, yoga, dancing, high-intensity interval training
Abstract (English):
The article presents the experience of developing a hardware and software complex designed to monitor the performance of sports exercises and diagnose the state of the athlete’s musculoskeletal system. The algorithms used are described and their significance for the problem being solved is justified.
The article presents the experience of developing a hardware and software complex designed to monitor the performance of sports exercises and diagnose the state of the athlete’s musculoskeletal system. The algorithms used are described and their significance for the problem being solved is justified.
Keywords:
musculoskeletal system, pose estimation, yoga, dancing, high-intensity interval training
musculoskeletal system, pose estimation, yoga, dancing, high-intensity interval training
1. Liu W., Bao Q., Sun Y., Mei T. Recent advances of monocular 2d and 3d human pose estimation: A deep learning perspective. ACM Computing Surveys, 2022, 55 (4), Article 80, pp. 1-41. DOI: https://doi.org/10.1145/3524497
2. Fan Z., Zhu Y., He Y., Sun Q., Liu H., He J. Deep learning on monocular object pose detection and tracking: A comprehensive overview. ACM Computing Surveys, 2022, 55 (4), Article 81, pp. 1-40. DOI: https://doi.org/10.1145/3524496
