Smart sleep monitoring system based on multi-information fusion

Abstract

The invention relates to a smart sleep monitoring system based on multi-information fusion. The system is composed of a sleep environment detection node, a sleep quality monitoring node and an OneNET cloud platform. The system performs real-time multi-dimensional monitoring on human body sleep environment parameters and physiological features through various sensors distributed in a sleep environment; the monitored environment and physiological feature data are uploaded to the OneNET cloud platform; a multi-information fusion technology is adopted to carry out fusion analysis on the physiological features, used as subclasses of naive Bayesian classification based on rough domain set optimization, of a human body at a decision-making level fusion end; and real-time sleep staging is realized by utilizing an improved naive Bayesian algorithm. According to the invention, sleep environment detection data and sleep quality monitoring data are subjected to deep mining and matching analysis through the OneNET cloud platform, a current sleep environment is subjected to real-time autonomous optimization adjustment according to feedback information, and the purposes of helping a user to optimize the sleep environment and improve sleep quality are achieved.

Description

technical field [0001] The invention relates to the field of smart home furnishing, in particular to a smart sleep monitoring system based on multi-information fusion. Background technique [0002] Sleep is a relatively important physiological activity in people's life. One-third of the life cycle is in this physiological process. High-quality sleep can ensure good physical and mental health of the human body. However, in today's society, with the acceleration of the pace of life, the increase of people's work pressure and the increase in the utilization rate of smart electronic devices, people's sleep quality has been greatly affected. At present, more than 30% of the population in my country suffers from sleep disorders. During the epidemic, due to the excessive psychological pressure of people, a series of sleep problems were caused. Therefore, in order to improve the quality of sleep and improve the immunity of the human body, it is very important to track and monitor th...

AI Technical Summary

Problems solved by technology

[0003] At present, the demand in the sleep market has started rapidly, but the smart sleep products on the market are not satisfactory

There are countless single sleep environment detection and sleep quality monitoring products on the market, but there are almost no smart sleep devices that combine the two to improve people's sleep quality; and a single sleep quality monitoring device such as a smart bracelet only monitors and does not control. What users get is just a cold data report, which fails to achieve the purpose of optimizing sleep quality and makes it difficult to have a good user experience

Therefore, it is difficult to achieve the effect of improving the user's sleep only through a single sleep environment and sleep quality monitoring device

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