Old people monitoring method of intelligent closestool based on Internet of Things

Abstract

The invention relates to the field of the Internet of Things, and particularly discloses an old people monitoring method and system of an intelligent closestool based on the Internet of Things and electronic equipment. According to the invention, a convolutional neural network model based on a deep learning technology is adopted to mine relevance characteristics among various detection data of different old people, so that the physical conditions of the old people are detected based on the relevance characteristics among the detection data of the old people; and in addition, in the process, a converter model is further adopted to encode the associated features of recessive expressions among various detection data of different old people so as to obtain dominant expressions of the associated features. By adopting such a manner, the precision and accuracy of classification can be high, so that the physical condition of the old people can be better detected.

Description

technical field [0001] The present invention relates to the field of the Internet of Things, and more specifically, to a monitoring method, system and electronic equipment for the elderly of an intelligent toilet based on the Internet of Things. Background technique [0002] In recent years, as the problem of aging in my country has become increasingly prominent, the proportion of the elderly population in the total population of the country has continued to increase, making the elderly a group that all sectors of society have to pay attention to. Entering old age, people's physiology and psychology are beginning to change. The design and product development for the special group of the elderly is in short supply, especially the bathroom products. [0003] Today, as the Internet of Things slowly enters our lives, the intelligence of household items has been accepted by people. Because the elderly fall down or have other accidents when going to the toilet, it is a huge safet...

AI Technical Summary

Problems solved by technology

In this way, the correlation between each sample data will be ignored. If a data in the sample data changes due to the influence of external environmental factors, disturbances will occur, which will make the detection accuracy lower.

Images