PHOTOGRAMMETRIC MOTION CAPTURE SUBSYSTEM FOR CHANGE OF BODY POSITION ANALYSIS IN THE FRONTAL AND SAGITTAL PLANES

Authors

  • O. Y. Barkovska Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
  • A. A. Kovalenko Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
  • V. O. Diachenko Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
  • L. D. Bukharova Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
  • V. Y. Korobko Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2025-4-15

Keywords:

rehabilitative orthopedics, motion capture, computer vision, MediaPipe Holistic, inertial sensors, postural analysis, gait monitoring, telemedicine, accelerometer

Abstract

Context. The increase in other orthopedic injuries, particularly among military personnel, requires new innovative solutions to assess posture changes and monitor rehabilitation effectiveness. Existing systems have limitations in terms of portability, cost, and flexibility of use, which necessitates the development of hybrid systems that combine computer vision and sensory analysis methods.
Objective. To assess the effectiveness of combining non-contact computer vision and accelerometric sensors for detecting changes in human posture under different lighting, background, and movement speeds.
Method. The study implemented a photogrammetric subsystem that includes MediaPipe Holistic for markerless tracking of key body points and WitMotion WT9011DCL-BT50 accelerometers for analyzing inertial motion parameters. The system model was built in IDEF0 notation. The accuracy was assessed by comparing the obtained values of the blade inclination angle and the asymmetry coefficient with the specified norms.
Results. The combined use of visual and sensory data made it possible to reduce the error to 5.05% under normal conditions and ensure the stability of the results under conditions of changes in the external environment. Image modification (contrast, noise filtering) increased the accuracy of computer vision. Threshold values of the asymmetry coefficient corresponding to normal, mild and severe postural disorders were determined.
Conclusions. The proposed system demonstrates high potential effectiveness in telemedical rehabilitation support for patients with musculoskeletal disorders. Its practical significance lies in the creation of an affordable, portable, and accurate diagnostic and monitoring tool suitable for further integration into personalized medicine systems with built-in artificial intelligence modules.

Author Biographies

O. Y. Barkovska, Kharkiv National University of Radio Electronics, Kharkiv

PhD, Associate Professor, Electronic Computers Department

A. A. Kovalenko, Kharkiv National University of Radio Electronics, Kharkiv

Dr. Sc., Professor, Head of Electronic Computers Department

V. O. Diachenko, Kharkiv National University of Radio Electronics, Kharkiv

Lecturer, Electronic Computers Department

L. D. Bukharova, Kharkiv National University of Radio Electronics, Kharkiv

Master’s student of the Department of Electronic Computers

V. Y. Korobko , Kharkiv National University of Radio Electronics, Kharkiv

Master’s student of the Department of Electronic Computers

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Published

2025-12-24

How to Cite

Barkovska, O. Y. ., Kovalenko, . A. A., Diachenko, V. O., Bukharova, L. D. ., & Korobko , V. Y. . (2025). PHOTOGRAMMETRIC MOTION CAPTURE SUBSYSTEM FOR CHANGE OF BODY POSITION ANALYSIS IN THE FRONTAL AND SAGITTAL PLANES. Radio Electronics, Computer Science, Control, (4), 173–184. https://doi.org/10.15588/1607-3274-2025-4-15

Issue

No. 4 (2025): Radio Electronics, Computer Science, Control

Section

Progressive information technologies

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Copyright (c) 2025 O. Y. Barkovska, A. A. Kovalenko, V. O. Diachenko, L. D. Bukharova, V. Y. Korobko

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