Smart Wearable IoT Device for Detecting Health Anomalies in Senior Citizens

Abstract

With theincreasing elderlypopulation, real-timehealth monitoring is crucial for ensuring their well-being and timely medical intervention, especially for those with chronic illnesses or at risk of sudden health anomalies. This project presents a Smart Wearable IoT Device that continuously tracks vital health parameters using the ESP-32 microcontroller. The device integrates multiple sensors, including a heartbeat sensor, SpO2 sensor, temperature and humidity sensor, vibration sensor (for fall detection), and a GPS module, allowing caregivers and healthcare professionals to access real-time health insights via a cloud-based system. The ESP-32, with its dual-core processing, low power consumption, and built-in Wi-Fi/Bluetooth, efficiently processes sensor data and transmits it for remote monitoring.Ifthesystemdetectsabnormalitieslikeirregularheartrate, low oxygen levels, sudden falls, or unusual temperature fluctuations, it triggers immediate alerts through a buzzer, LCD display, and IoT notifications, ensuring prompt action. The GPS module enhances safety by helping caregivers locate the senior in emergencies, while falldetection,utilizingavibrationsensorandaccelerometer,identifies sudden impacts and sends emergency alerts with real-time GPS tracking. Designed for portability and comfort, the lightweight and rechargeabledeviceissuitablefordailyuse.WithAI-drivenanalytics and cloud integration, it facilitates proactive health management, reducing medical emergencies and enhancing the quality of life. By combining IoT, wearable technology, and smart healthcare solutions, this system improves elderly safety, independence, and well-being, ensuring continuous health monitoring and timely interventions.