Rehabilitation System Using Image Processing for Real-Time Feedback

The patent replaces complex mechanical monitoring systems (3D cameras, motion sensors, multiple hardware devices) with a software-based image processing solution using the device's existing camera and computer vision algorithms. This substitution achieves accurate pose and movement detection through algorithms that process standard video feeds, eliminating the need for specialized expensive hardware while maintaining measurement precision.

The system creates a virtual copy of the patient's physical environment and provides immersive visualization of their movements and posture. By rendering virtual representations of the patient's actions in real-time, the system enables accurate monitoring without requiring complex physical sensing equipment, as the virtual model mirrors and analyzes the physical movements through image processing.

The system enables patients to conduct rehabilitation sessions independently at home using their own device's camera and the application's image processing capabilities. The automated pose detection, real-time feedback, and virtual environment provide the monitoring and interaction that would otherwise require a physical trainer present, making the service self-sufficient while maintaining accuracy through algorithmic analysis.

The system provides continuous real-time feedback to patients during exercises through the virtual environment, showing their current pose, correct posture comparisons, and performance metrics. This immediate feedback loop replaces the continuous verbal guidance and correction provided by in-person trainers, enabling accurate monitoring and correction without requiring physical presence.