Wearable System

Wearable systems are rapidly evolving to provide continuous health monitoring and personalized assistance, aiming to improve diagnostics and quality of life. Current research emphasizes miniaturization and energy efficiency, employing machine learning models like transformers and meta-learning approaches to optimize performance with limited data and power consumption. Applications range from detecting cardiac arrhythmias and Parkinson's disease to aiding navigation for visually impaired individuals and enabling precise body-part tracking for rehabilitation and motion analysis. These advancements hold significant promise for improving healthcare, accessibility, and human-computer interaction.