Motion state detection method, wearable device and device

Abstract

The invention relates to the technical field of the Internet of Things, and discloses a motion state detection method, a wearable device and a device with a storage function. The method includes: obtaining the height change value of the wearable device; judging whether the height change value is greater than a preset height threshold, and if the height change value is greater than the preset height threshold, obtaining the acceleration information of the current wearable device and the user of the wearable device physiological information; compare the acceleration information with the characteristic acceleration information in different motion states, and compare the physiological information with the characteristic physiological information to determine the motion state of the wearable device. Through the above method, the present invention can improve the accuracy of motion state detection.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a motion state detection method, a wearable device and a device with a storage function. Background technique [0002] With the development of society, the degree of aging is getting higher and higher, and the elderly living alone are becoming more and more common. In the absence of care, the elderly have a high probability of falling, causing injury and death, and timely rescue is very important. Among all the falls, the most critical situation is that the elderly cannot call for help after the fall, which will directly lead to the inability of the elderly to receive timely treatment and make the condition worse or die. There are two main reasons for this situation: one is syncope. fall. In the cases of falls in the elderly, the cause of the falls is mostly related to cardiogenic syncope, and falls caused by syncope are more likely to cause serious injury than f...

AI Technical Summary

Problems solved by technology

Today, as the degree of intelligence is getting higher and higher, researchers use various technical approaches to try to solve this problem, but most of the developed equipment are not effective in actual use. The main reasons are: 1. The detection equipment is inconvenient to wear and use, and the elderly Rejection of complex equipment; 2. It is difficult for detection equipment to adapt to changes in the complex external environment, and the detection accuracy is not high

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