Abstract

Obesity-related mobility issues often require structured physiotherapy interventions to enhance movement efficiency, posture, and functional rehabilitation. However, access to real-time exercise feedback is limited in traditional settings. This paper presents an AI-powered motion tracking system that supports obesity physiotherapy treatments by providing wireless movement analysis, posture correction, and real-time rehabilitation feedback. The system integrates an Inertial Measurement Unit (IMU)-based motion sensor node with wireless data transmission and real-time monitoring to assist obesityfocused physiotherapy exercises. The device provides continuous feedback on movement accuracy, ensuring proper form during low-impact exercises designed for overweight patients. With an autonomy of 28 hours and wireless data analysis capabilities, this technology offers a cost-effective physiotherapy monitoring solution for both clinical and home-based obesity rehabilitation programs. Experimental results demonstrate that the sensor achieves high accuracy (error margin of ±3°) in motion tracking, making it a viable tool for personalized weight-loss physiotherapy interventions. This research highlights the importance of AIdriven motion tracking in enhancing physiotherapy outcomes for obesity treatment.