IoT-Based Smart Home System with Real-Time Health Monitoring

Abstract

The proliferation of the Internet of Things (IoT) has transformed modern households by enabling automation, remote control, and intelligent decision-making. This study introduces a novel IoT-Based Smart Home System with Real‑Time Health Monitoring, integrating environmental control functions (lighting, HVAC, security) with continuous personal health tracking (heart rate, body temperature, SpO₂). Using a modular architecture, sensor networks collect real-time data from wearable devices and in-home sensors, forwarding information to a central gateway. A combination of edge computing and cloud analytics processes streams for anomaly detection, predictive alerts, and adaptive automation. Developed via open-source microcontroller platforms and health-grade wearable APIs, the system ensures seamless interoperability and rapid deployment. We validated functionality through a prototype within a residential lab environment, evaluating responsiveness, data accuracy, and user experience.

Key contributions include:

1.     Integrated solution combining home automation and health monitoring.

2.     Adaptive control logic responding to health anomalies (e.g., adjust temperature for fever).

3.     Privacy-first endpoint design, ensuring data encryption and selective sharing.

4.     Quantitative evaluation, demonstrating minimal latency (<200 ms round-trip) and >95% accuracy in health metrics.

This system holds promise for elderly care, chronic disease management, and wellness tracking in modern smart homes. Furthermore, the modular framework can be extended to support additional health markers (e.g., blood pressure), multi-occupant coordination, and AI-driven lifestyle coaching.