DEVELOPMENT OF A METHOD, ALGORITHM, AND SOFTWARE TOOL FOR BIOMECHANICAL ANALYSIS OF ATHLETES' MOVEMENTS

This study presents contemporary approaches to the biomechanical analysis of athletes’ movements, outlines the principles of algorithmic formalization, and describes the development of a software tool for automated data processing. Within the framework of the research, mechanisms for determining motion parameters, calculating kinematic and dynamic indicators, and processing video and sensor data were developed. The proposed algorithm enables the identification of spatiotemporal characteristics of athletic movements, including the computation of joint angles, velocity, acceleration, and force-related parameters. Furthermore, a software application implemented in Python facilitates automated motion analysis and visualization of results. The findings demonstrate significant potential for enhancing training efficiency, detecting technical errors, optimizing performance, and reducing the risk of sports-related injuries.