Development of a quasi-real-time system for biomechanical analysis of human movement for sports rehabilitation

Sports-related injuries are still a big concern, so effective rehabilitation strategies are needed to ensure athletes recover well and perform at their best. This master’s thesis outlines the development of a quasi-real-time biomechanical analysis system tailored specifically for sports rehabilitation applications. The proposed system aims to address the current limitations of existing biomechanical analysis tools by providing immediate feedback to both athletes and healthcare professionals. The research begins with an exploration of running mechanics and the biomechanical factors that contribute to running-related musculoskeletal injuries. Understanding these elements is crucial for developing effective rehabilitation protocols. The study then delves into the potential of real-time biofeedback in sports rehabilitation, emphasizing its role in enhancing both patient outcomes and clinical practice. By collaborating with experts in sports science, the research highlights the importance of immediate feedback in aiding rehabilitation processes. The developed system integrates various software tools and technologies, including OpenSim for musculoskeletal modeling, RabbitMQ for efficient data communication, and a custom Dash application for interactive visualization. The functionality of the system is validated through a series of experiments comparing its accuracy and reliability to traditional offline biomechanical analysis methods.