| The Role of AI and Virtual Reality in Dynamic Rehabilitation for Patellofemoral Pain |
| Paper ID : 1709-SPORTCONGRESS |
| Authors |
|
hassan Ashouri * دبیر آموزش و پرورش استان همدان |
| Abstract |
| Background and Objectives: Patellofemoral Pain (PFP) requires engaging, personalized rehabilitation to correct biomechanical deficits. Traditional exercises can be monotonous, leading to poor adherence. This article explores how the fusion of Artificial Intelligence (AI) and Virtual Reality (VR) can create dynamic, real-time adaptive training programs to overcome these challenges and optimize outcomes for PFP patients. Methods: The methodology involves an AI-powered VR ecosystem. Patients wear a VR headset and motion sensors, immersing them in interactive environments (e.g., virtual hiking or sports). AI algorithms continuously analyze their movement kinematics—such as knee valgus and hip control—in real time. Based on this analysis, the AI dynamically adjusts the VR exercise difficulty, provides biofeedback through the virtual interface, and ensures movements are performed correctly and safely, personalizing the therapy session on the fly. Results: The integration of AI and VR yields superior results. Patients demonstrate significantly higher motivation and exercise adherence due to the engaging nature of VR. The AI's real-time biomechanical analysis ensures optimal movement patterns are learned and reinforced more effectively than with standard physiotherapy. Studies show that this approach leads to faster pain reduction, greater improvements in functional strength, and better long-term movement retention, transforming rehabilitation from a chore into an engaging activity. Conclusion: The synergy of AI and Virtual Reality represents a transformative advancement in PFP rehabilitation. By creating immersive, dynamically adaptive training environments, this technology addresses critical issues of motivation and precision. It empowers patients to perform exercises correctly while making the process enjoyable, leading to more effective and sustainable recovery from patellofemoral pain. |
| Keywords |
| Artificial Intelligence Virtual Reality Patellofemoral Pain Dynamic Rehabilitation Real-time Biofeedback Artificial Intelligence, Virtual Reality, Patellofemoral Pain, Dynamic Rehabilitation Motor Learning Personalized Exercise |
| Status: Abstract Accepted (Poster Presentation) |
