Remote fall detection method and system based on genetic algorithm and probabilistic neural network

A probabilistic neural network and genetic algorithm technology, applied in the field of remote fall detection methods and systems, can solve the problems of false positives, low accuracy, and difficulty in distinguishing falls

Active Publication Date: 2020-05-05
山东澳望德信息科技有限责任公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional threshold detection algorithm has low accuracy and it is difficult to distinguish falls from normal activities similar to falls, such as lying down, squatting, bending over, etc., resulting in false positives and false negatives
[0005] In summary, there is still a lack of effective solutions to solve the problem of false positives and missed negatives in the detection of falls of the elderly in the existing health monitoring system for the elderly.

Method used

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  • Remote fall detection method and system based on genetic algorithm and probabilistic neural network
  • Remote fall detection method and system based on genetic algorithm and probabilistic neural network
  • Remote fall detection method and system based on genetic algorithm and probabilistic neural network

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Embodiment 1

[0050] As introduced in the background technology, in the prior art, there are problems of false positives and missed negatives in elderly people’s fall detection in the elderly’s health monitoring system, and a remote fall detection method and system based on genetic algorithm and probabilistic neural network is provided . Relying on the big data platform of the Internet, integrate and process multi-channel sensor data, and propose the use of probabilistic neural network method based on genetic algorithm in fall detection to improve the accuracy of fall detection. Through Internet technology, medical staff and family members can remotely monitor the health status of the elderly in real time, and improve the level of nursing protection for the elderly.

[0051] In order to achieve the above object, the present invention adopts the following technical scheme:

[0052] Such as figure 1 as shown,

[0053] A remote fall detection method based on genetic algorithm and probabilis...

Embodiment 2

[0095] As introduced in the background technology, in the prior art, there is a problem of false positives and missed negatives in the elderly’s fall detection in the elderly’s health monitoring system. A remote fall detection method based on genetic algorithm and probabilistic neural network is provided and system. Relying on the big data platform of the Internet, integrate and process multi-channel sensor data, and propose the use of probabilistic neural network method based on genetic algorithm in fall detection to improve the accuracy of fall detection. Through Internet technology, medical staff and family members can remotely monitor the health status of the elderly in real time, and improve the level of nursing protection for the elderly.

[0096] In order to achieve the above object, the present invention adopts the following technical scheme:

[0097] Such as Figure 4-Figure 6 as shown,

[0098] A remote fall detection system based on genetic algorithm and probabil...

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Abstract

The invention relates to a remote fall detection method based on a GA (genetic algorithm) and a PNN (probabilistic neural network). The method comprises the following steps: (1) acquisition of body information of old people: tri-axial acceleration and attitude angles of the old people are acquired, eigenvalues are calculated, and an eigenvector is formed; (2) classified detection: the PNN is constructed and optimized with the GA, and fall behaviors and fall-like behaviors of the old people are detected in a classified manner with the optimized PNN according to the eigenvector obtained in the step (1); (3) remote monitoring: the fall information, monitored in the step (2), of the old people is uploaded to a server and transmitted to a remote monitoring terminal by the server for monitoring.

Description

technical field [0001] The invention belongs to the technical field of medical health monitoring, and in particular relates to a remote fall detection method and system based on a genetic algorithm and a probabilistic neural network. Background technique [0002] At present, the aging phenomenon of the global population is becoming more and more serious. It is estimated that by 2050, my country will become one of the countries with the most aging population, which will bring many challenges to the development of our society, especially the health protection of the elderly has attracted much attention. Therefore, the health care of the elderly has become an urgent problem that the society needs to solve. Traditional elderly care requires nursing staff to monitor their physical health in real time, which consumes a lot of manpower and material resources, and the cost is relatively high. [0003] With the development of electronic technology, electronic information technology...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0205A61B5/11A61B5/145A61B5/00
CPCA61B5/0022A61B5/02055A61B5/024A61B5/1116A61B5/1117A61B5/14542A61B5/72A61B5/7264A61B5/7267A61B2503/08A61B2562/0219
Inventor 王晶晶杨斌侯伟龚军孙昂胡长军
Owner 山东澳望德信息科技有限责任公司
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