Design of Health and Elderly Care Intelligent Monitoring System Based on IoT Wireless Sensing and Data Mining

Abstract

With the intensification of the aging of the population, the traditional way of supporting the elderly can no longer meet the increasing demand for health monitoring. The system uses a variety of wireless sensors to collect health-related data of the elderly, and realizes real-time data transmission and storage through the Internet of Things technology. Data mining algorithm is used to analyze and process the collected data and extract valuable information to provide personalized health management and early warning services. The experimental results show that the system can monitor the health status of the elderly in real time and accurately. Through data mining technology, the system can effectively identify abnormal situations and issue early warnings in time to ensure the health and safety of the elderly. The user interface of the system is friendly and easy to operate, which is suitable for the elderly. The system not only improves the quality of life of the elderly, but also provides strong technical support for the healthy old-age care of the family and the society.