Gamified Physiotherapy: An Interactive Rehabilitation System Using AI and Motion Tracking for Brachial Plexus Injury

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وصف المشروع

This project developed an intelligent and interactive rehabilitation system for patients with Brachial Plexus Injuries (BPI) using Artificial Intelligence (AI), motion tracking, and gamification technologies. Patients with upper-limb injuries often undergo long and repetitive physiotherapy sessions, which can reduce motivation and adherence to rehabilitation programs. Therefore, the proposed system transforms traditional rehabilitation exercises into engaging game-based activities that improve patient participation and therapy consistency. The system utilizes real-time body motion tracking through MediaPipe technology to detect body landmarks, calculate joint angles, and measure the patient’s Range of Motion (ROM) during rehabilitation sessions. It also includes adaptive rehabilitation games that automatically adjust exercise difficulty based on the patient’s performance and progress. In addition, the system provides a comprehensive medical dashboard that enables physiotherapists to monitor patient progress, analyze historical performance data, evaluate rehabilitation outcomes, and make data-driven clinical decisions. The project was developed using an iterative development methodology that involved continuous design, implementation, testing, and refinement with feedback from physiotherapists. Although the system was primarily designed for patients with Brachial Plexus Injuries, it also demonstrated the potential to support rehabilitation for other conditions such as Stroke, Cerebral Palsy, and post-surgical recovery cases.

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