Smart Wearable Sensor System for Real-Time Biomechanical Analysis with AI Integration

Wearable sensor systems have become important tools for real-time monitoring of movement. They offer great potential in healthcare, rehabilitation, and sports science. This study introduces a smart wearable sensor platform that combines flexible strain sensors, accelerometers, and gyroscopes to gather high-resolution motion data. The system uses an onboard AI-based signal processing algorithm to improve data quality by filtering out noise and spotting unusual movement patterns. Made with sustainable materials and energy-efficient hardware, the device supports environmental responsibility and extends its lifespan. Validation from studies in clinical rehabilitation and athletic performance showed better motion detection accuracy and high user comfort. By merging sensor technologies with smart data analysis, this system provides an effective and scalable solution for healthcare providers and sports professionals looking for reliable, real-time insight into movement.