Design and implementation of a multimodal health monitoring system for elderly living alone based on STM32
Yiqian Lin
School of Computer and Communication Engineering, Pujiang Institute, Nanjing Tech University
Yuquan Wang
School of Computer and Communication Engineering, Pujiang Institute, Nanjing Tech University
Yuewen Hua
School of Computer and Communication Engineering, Pujiang Institute, Nanjing Tech University
Yongling Jiang
School of Computer and Communication Engineering, Pujiang Institute, Nanjing Tech University
Qi Li
School of Computer and Communication Engineering, Pujiang Institute, Nanjing Tech University
Haifeng Wang
School of Computer and Communication Engineering, Pujiang Institute, Nanjing Tech University
DOI: https://doi.org/10.59429/esta.v12i4.12683
Keywords: elderly living alone; health monitoring; fall detection; STM32; IoT
Abstract
With the rapid growth of the aging population, ensuring the health and safety of elderly people living alone has become increasingly important. This paper presents the design and implementation of an embedded health monitoring system based on the STM32F103C8T6 microcontroller. The system integrates a DS18B20 temperature sensor, a MAX30102 heart rate and blood oxygen sensor, an MPU6050 inertial sensor, a GPS positioning module, an OLED display, and an ESP32 wireless communication module, enabling realtime acquisition of physiological parameters, motion status, and location information. Alarm thresholds can be configured locally or remotely via a mobile application. When abnormal physiological conditions or fall events are detected, the system triggers alarm notifications and uploads data to a cloud platform for remote monitoring. Experimental results show that the proposed system provides stable wireless communication, reliable data acquisition, and effective abnormal event detection, demonstrating its feasibility and practicality for elderly health monitoring applications.
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