A drowning detection and alarm device based on cloud server and machine learning algorithm

Abstract

The invention discloses a drowning detection and alarm device based on a cloud server and a machine learning algorithm, which relates to the technical field of computer applications and includes a wearable device worn on a user's hand or foot, a server and a client held by a guardian, which can The wearable device collects the user's action posture data and heart rate data, and the server comprehensively analyzes these data through various factors to determine whether the swimmer has drowned, and truly realizes the function of drowning event monitoring. The alarm information can be accurately sent to guardians or swimming coaches in real time, and has the advantages of accuracy, efficiency, real-time, and large monitoring range.

Description

technical field

[0001] The invention relates to the field of computer application technology, in particular to a drowning detection and alarm device based on a cloud server and a machine learning algorithm. Background technique

[0002] Statistics show that nearly 50,000 children die of accidental injuries every year in my country, and in recent years drowning has continued to account for more than 50% of all children's accidental injury deaths. For children who are new to swimming, many people think that they will struggle and call when they drown, but in fact, many situations may be the opposite. Usually, children drowning in swimming can be divided into two stages. The drowning person is just in the choking stage and the "silent drowning" stage. Children who are not good at swimming will be very nervous and their muscles will become stiff once they drink water. , Shouting and being unable to shout out, accidents are prone to happen at this time. If the parent is not car...

Images