Smart Health, Biosensing & Rehabilitation Systems

A wearable IoT framework integrating multimodal biosensors with intelligent signal processing for fall detection and remote health monitoring of elderly patients. The system fuses accelerometer, gyroscope, and heart rate data through deep learning models to distinguish between falls and daily activities.

An IoT and cloud-based telerehabilitation framework using RGB-Depth sensors for remote patient monitoring and rehabilitation assessment. The system captures 3D skeletal data and RGB video to analyze exercise quality, range of motion, and treatment adherence, providing real-time feedback to patients and progress reports to therapists via secure cloud infrastructure for at-home rehabilitation programs.