Control of sports exercises and diagnostics of diseases of the musculoskeletal system using hardware and software complex and machine learning algorithm
Abstract and keywords
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.

Keywords:
musculoskeletal system, pose estimation, yoga, dancing, high-intensity interval training
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References

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

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