Method for old man falling-down detection based on attractor propagation algorithm

A technique of attractor propagation and detection method, applied in the field of fall detection of the elderly based on attractor propagation algorithm, which can solve the problems of misjudgment rate and low accuracy rate.

Active Publication Date: 2016-08-17
SOUTH CHINA UNIV OF TECH
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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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  • Method for old man falling-down detection based on attractor propagation algorithm
  • Method for old man falling-down detection based on attractor propagation algorithm
  • Method for old man falling-down detection based on attractor propagation algorithm

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Embodiment Construction

[0055] The present invention will be further described below in conjunction with specific embodiments.

[0056] Such as figure 1 As shown, the method for detecting the fall of the elderly based on the attractor propagation algorithm in this embodiment includes the following steps:

[0057] 1) Collect sample information of each sensor;

[0058] 2) Process sample information and normalize to construct a weighted sum of sample states;

[0059] 3) The weighted sum of the samples is input into the AP clusterer;

[0060] 4) Use the clustering results to construct a balanced binary tree and mark the clustering results;

[0061] 5) Collect the information of each sensor;

[0062] 6) Process sensor information and normalize, construct a weighted sum of states;

[0063] 7) Find a balanced binary tree according to the weighted sum result, and output the prediction result.

[0064] The sensors in steps 1) and 5) include a three-axis acceleration sensor (when an individual moves, three orthogonal accel...

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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 present invention relates to the technical field of medical health and machine learning, in particular to an old man fall detection method based on attractor propagation algorithm. Background technique [0002] The age structure of our society is gradually becoming aging, and the issue of safety supervision of the elderly is getting more and more attention. Among them, falls are the primary cause of injury to the elderly over 65 in our country, which seriously affects the quality of life and physical and mental health of the elderly. The 2006 National Disease Surveillance System's death cause monitoring data showed that the fall mortality rate of the elderly over 65 in my country was 49.56 / 100,000 males and 52.80 / 100,000 females. The death rate from falls among the elderly rises sharply with age. Therefore, how to detect the occurrence of the fall of the elderly at the first time so that the elderly can be treated in time has become the most concerned...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/04
CPCG08B21/043G08B21/0446
Inventor 袁雪姣周智恒谭江慧赵汝正刘楷怡
Owner SOUTH CHINA UNIV OF TECH
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