The increasing number of elderly people suffering from Dementia has created a critical need for continuous monitoring systems that ensure their safety, health, and well-being. Dementia patients frequently experience memory loss, confusion, and disorientation, which can lead to wandering away from safe environments and facing difficulties in communicating their health conditions during emergencies. Human trafficking and forced human transport remain critical global challenges due to the absence of reliable real-time victim detection mechanisms, especially in GPS-denied environments. To address these multifaceted challenges, an AI-Driven Wearable Rescue Beacon System is proposed for continuous vital sign tracking and live location detection. The proposed physical healthcare smart wearable kit integrates multiple biometric and motion sensors, including a MAX30102 heart rate and SpO2 sensor, a MEMS accelerometer (MPU6050), and an iBeacon BLE module, all governed by an AI-capable 32-bit microcontroller (ESP32). The device continuously learns the user’s normal activity patterns and physiological behavior. If abnormal vital signs are detected or if the patient moves outside a predefined safe area, the system automatically triggers a silent rescue mode and transmits an encrypted distress signal via IoT communication modules to caregivers. This comprehensive system ensures real-time patient monitoring, providing peace of mind to healthcare providers and promoting independent living for dementia patients.

The Physical Healthcare Model for Continuous Vital Sign Tracking and Live Location Detection of Dementia Pa-tients provides a highly effective, low-latency solution for improving patient safety and remote health monitoring. By intelligently integrating sensors like the MEMS ac-celerometer and MAX30102 SpO2 sensor with an ESP32 AI controller, the system successfully analyzes the user’s health condition autonomously. It detects emergency situ-ations such as sudden falls or abnormal vital signs without requiring user intervention. The implementation of OLED displays ensures real-time visualization, while the iBeacon module guarantees that caregivers are notified instantly, even in GPS-denied envi-ronments. The device successfully promotes independent living for dementia patients while dramatically reducing the psychological burden on caregivers. In the future, this system can be further enhanced with more advanced Edge-AI predictive algorithms, expansive cloud data analytics for long-term health trending, and deeper integration with national emergency medical service (EMS) dispatch sys-tems.

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