The United Nations Population Fund (UNFPA) points out that by 2050, the global population aged 60 and above will increase to 2 billion. With the continuous improvement of people's living standards and the aggravation of population aging, people are paying more attention to their own physical health status, and the demand for health monitoring is also becoming stronger. Real time monitoring of the physiological condition of patients or sub healthy individuals who have already suffered from chronic diseases can play a preventive and alarm role. The home health monitoring system based on the Internet of Things and intelligent robot technology is expected to solve the challenges brought by aging population. This system collects physiological data of the human body through electrocardiogram sensors, heart rate sensors, etc. to detect the health status of family members. It uses temperature and humidity sensors, PM2.5 sensors, combustible gas sensors, and flame sensors to collect household environmental data, allowing people to live in a safe and comfortable environment. This system achieves real-time collection of high-precision household environmental data and physiological data of family members. And based on these data, further analysis and inference can be carried out to comprehensively judge the environment and behavior of the target, which can provide a more comprehensive and comprehensive assessment of human health status. Through a series of experimental designs, it has been proven that the system can accurately collect physiological and household environmental data from the human body, and can automatically alert abnormal physiological and environmental data through analysis and inference, thus achieving realtime health monitoring of the human body.
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Ma et al. (2024) studied this question.
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