Edge-Intelligent Wearable IoT for Real-Time Stress Monitoring and Indoor Localization: A TinyML-Enabled Adaptive RPL Approach
An edge-intelligent wearable IoT system that integrates photoplethysmography-based sensing, edge machine learning (TinyML), adaptive networking based on the Routing Protocol for Low-Power and Lossy Networks (RPL), and zone-aware indoor tracking is proposed, representing a validated proof-of-concept toward preventive he...