Intelligent tumble monitoring equipment for old people

Abstract

The invention relates to intelligent tumble monitoring equipment for old people, which comprises a power supply module, a main control module, and a sensor module, an alarm module and a first wireless communication module which are respectively connected with the main control module, and the sensor module is used for collecting acceleration and angular velocity information of the device in real time, the main control module is used for carrying out data processing and judgment on the acceleration and angular velocity data so as to determine whether the equipment is in a non-falling behavior mode or a falling behavior mode at present, the alarm module is used for carrying out sound alarm and/or light alarm, and the first wireless communication module is used for sending alarm information to an intelligent terminal bound with the equipment. With the adoption of the structure, the falling behavior of the old people can be monitored and alarmed more conveniently and effectively, so that serious consequences caused by the fact that the old people cannot be assisted in time after falling down accidentally are effectively avoided.

Description

technical field [0001] The present invention relates to a medical health and intelligent device, in particular to an intelligent device for monitoring the fall of the elderly. Background technique [0002] Currently, the global population is entering an aging stage, and the world population is rapidly aging. As the largest developing country in the world, my country is also the country with the largest population of elderly people in the world. According to the National Bureau of Statistics, China's population aging rate ranks first in the world. As of the end of 2019, there were about 254 million elderly people over the age of 60 in my country, accounting for 18.1% of the national population. After getting older, the elderly generally suffer from osteoporosis, muscle atrophy, and decreased physical function. Once they fall in daily life, they are prone to fractures. Fractures themselves are not fatal, but various complications caused by fractures, such as lung infection,...

AI Technical Summary

Problems solved by technology

The video image analysis method is generally monitored by a camera, but this may violate user privacy; the audio signal analysis method is to judge whether a fall is by capturing the frequency of vibration, but its installation is more complicated and the capital investment is relatively large; while smart device monitoring The method is to judge by monitoring the acceleration an

Images