A Fall Detection Method for the Elderly Based on Attractor Propagation Algorithm

Abstract

The invention discloses a method for old man falling-down detection based on an attractor propagation algorithm. The method comprises a step 1) of collecting sample information of each sensor; a step 2) of processing the sample information and performing normalization, and constructing a sample state weighted sum; a step 3) of inputting the sample state weighted sum into an AP cluster; a step 4) of utilizing clustering results to construct a balanced binary tree, and marking the clustering results; a step 5) of collecting information of each sensor; a step 6) of processing the sensor information and performing normalization, and constructing a state weighted sum; a step 7) of searching the balanced binary tree according to a weighted sum result, and outputting a predicted result. According to the method, through the AP cluster implemented through the attractor propagation algorithm and the balanced binary tree constructed through the state weighted sum, the old man falling-down detection accuracy rate is effectively improved, and thus the problem that an existing falling-down detection method is not high in accuracy rate and large misjudgment occurs is solved.

Description

technical field [0001] The invention relates to the technical fields of medical health and machine learning, in particular to an elderly fall detection method based on an attractor propagation algorithm. Background technique [0002] The age structure of our society is gradually aging, and the safety guardianship of the elderly is getting more and more attention. Among them, falls are the first cause of injury to the elderly over 65 years old in my country, which seriously affects the quality of life and physical and mental health of the elderly. The death cause monitoring data of the National Disease Surveillance System in 2006 showed that the fall mortality rate of the elderly over 65 years old in my country was 49.56 / 100,000 for men and 52.80 / 100,000 for women. The death rate from falls in the elderly increases sharply with age. Therefore, how to detect the occurrence of the elderly's fall time at the first time, so that the elderly can obtain medical treatment in time ...

AI Technical Summary

Problems solved by technology

Although many scholars have proposed a method for detecting falls in the elderly, there are still many problems in this research. The main problem is that the accuracy of detection is not high and there is a certain rate of misjudgment.

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