CORRECTION OF BIOMECHANICAL POSTURE DISORDERS IN STUDENTS THROUGH SPECIAL PHYSICAL EXERCISES BASED ON VIDEO-COMPUTER ANALYSIS

Abstract

The article provides a comprehensive theoretical and empirical substantiation of a methodology for correcting posture disorders in university students by integrating modern video-computer analysis technologies. The study addresses the urgent problem of anthropogenic musculoskeletal deformities, specifically «text neck» syndrome (Forward Head Posture) and thoracic kyphosis, which have become prevalent due to prolonged static loads and sedentary behavior within the digital educational environment.The authors tackle the technical-methodological gap between the necessity for precision diagnostics and the limited accessibility of expensive laboratory equipment in higher education institutions. The research details a validated approach using Kinovea software (version 0.9.5) as a high-precision, low-cost tool for objectifying biomechanical body parameters. By employing 2D photometry and digital markers, the study transitions from subjective visual assessment to the measurement of precise kinematic coordinates, angles (C7–tragus, thoracic kyphosis), and shoulder girdle asymmetry. The corrective intervention algorithm is grounded in biomechanical principles, specifically focusing on modifying force moments and lever arms of the musculoskeletal system. The 12-week program (n=25) included targeted exercise blocks for spinal decompression, functional mobilization («W-stabilization»), and deep muscular corset stabilization («Chin Tuck» and «Anti-Extension plank»). The proposed data-driven approach transforms physical education into a measurable, scientific process aligned with national digitalization strategies. It provides a reliable «low-cost» alternative to 3D motion capture systems for mass educational use. Prospects for further research are associated with the integration of neural networks and artificial intelligence to automate the identification of biomechanical posture markers in real-time.