A detection and alarm method of a wearable human body collapse detection and alarm device

Abstract

The invention discloses a wearable human body collapse detecting and warning device and an application. The wearable warning device comprises an acceleration sensor, a signal processing module, a wireless communication module, a GPS positioning module, a human-computer interaction module and a warning module. The wearable warning device comprehensively judges the human body collapse through monitoring the daily behavior of the human body, judging whether the daily behavior is matched with the human body collapse behavior and combining with the human-computer interaction module and gives an alarm duly. The wearable warning device is small in volume and is convenient to carry so that the user does not have any carry feel; the wearable warning device conforms to the wearing habit of people and combines with the detection of a plurality of acceleration sensors, the confirmation of the human-computer interaction module and the geographic position identification, the more the worn sensors, the higher the accuracy; a large amount of data show that the accuracy of the waist wearing type human body collapse detecting and warning device is higher than 95% through wearing normally.

Description

technical field [0001] The invention mainly relates to a portable wearable device using multi-sensor information processing technology and wireless communication technology, in particular to a human body collapse detection and alarm device and a detection and alarm method thereof. Background technique [0002] With the continuous development of communication technology and micro-sensor technology and the continuous progress of the information society, it is possible to develop a convenient and reliable collapse alarm device. cure. [0003] The difference between a collapse and a fall: The body may collapse in a sitting position; the process of collapsing tends to be slower than falling or falling. [0004] Paralysis can effectively monitor the daily behavior of most elderly people, has self-learning ability, and can highly match everyone's daily behavior, so as to achieve high accuracy in judging the collapse of the elderly, and timely alarm can greatly reduce the mortality...

AI Technical Summary

Problems solved by technology

[0006] At present, there are many detection technologies for falls, including: 1. Using acceleration sensing to detect whether a fall is by analyzing the acceleration, but paralysis often does not have a very sudden change in the body behavior, so it will not be recognized normally in this situation. It is easy to misjudgment and has poor versatility; 2. It is detected by the pressure sensor placed on the sole of the foot. Leakage of user privacy and other issues

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