Human body tumble behavior real-time monitoring system and monitoring method based on millimeter wave radar

A real-time monitoring system, millimeter wave radar technology, applied in radio wave measurement systems, radio wave reflection/re-radiation, measurement devices, etc., can solve the problem that relatives cannot know quickly, achieve easy installation and deployment, and solve the probability of misidentification High, improve the effect of detection accuracy

Pending Publication Date: 2022-07-29
XIAN UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the relatives cannot quickly know the fall of the elderly at home, so as to provide a real-time monitoring system for human body fall behavior based on millimeter wave radar, which can accurately detect the fall behavior under the premise of protecting privacy

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  • Human body tumble behavior real-time monitoring system and monitoring method based on millimeter wave radar
  • Human body tumble behavior real-time monitoring system and monitoring method based on millimeter wave radar

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Embodiment

[0065] The height threshold only uses the elevation data of the target in the millimeter wave data set as the feature quantity, and identifies the falling behavior by judging the relationship between the height and the set threshold, while the feature quantity of LightGBM includes the speed and acceleration information of the target in addition to the elevation data. The method of pattern recognition can comprehensively judge the fall behavior, so it can improve the accuracy and robustness of fall recognition.

[0066] Table 1 below shows the accuracy of fall recognition between the traditional threshold method and the machine learning algorithm LightGBM adopted in the present application. It can be seen that the accuracy of the fall detection methods of the present application is all above 90%, and the accuracy is higher.

[0067] Table 1

[0068] Threshold method (accuracy rate) LightGBM (accuracy rate) fall forward 82.35％ 95.05％ fall after 88.97％ ...

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Abstract

The invention discloses a human body tumble behavior real-time monitoring system based on a millimeter wave radar. The system comprises a millimeter wave radar module, a calculation board card, an acousto-optic module and a power supply module which are arranged in a protection shell. The millimeter wave radar module and the power supply module are respectively connected with the calculation board card through a USB, the acousto-optic module is connected with the calculation board card, the power supply module provides power for the monitoring system, and the calculation board card is connected with the remote terminal through the WIFI module. The invention further discloses a human body tumble behavior real-time monitoring method based on the millimeter-wave radar, noise of the millimeter-wave radar is reduced firstly, the Tsfreh algorithm is selected for feature extraction, rich feature parameters related to tumble are extracted, and compared with a traditional feature extraction method, the algorithm is high in efficiency and wide in range, and a large number of time sequence features can be automatically calculated. Secondly, a LightGBM algorithm is adopted to replace a height threshold method, and the robustness of the millimeter-wave radar on human body tumble behavior detection is improved.

Description

technical field [0001] The invention belongs to the field of industrial sensor technology and artificial intelligence technology, in particular to a real-time monitoring system for human falling behavior based on millimeter wave radar; and a real-time monitoring method for human falling behavior based on millimeter wave radar. Background technique [0002] According to the World Health Organization, about 28-35% of people aged 65 and over fall at least once a year, and falls have become one of the leading causes of death and unintentional injury among the elderly. As a public health problem, falls have become a common obstacle for the elderly to live independently. Therefore, in the context of home care, timely and effective medical and health monitoring becomes crucial. The ability to detect falls of the elderly in time enables them to take proactive measures. Rescue; if the fall is not detected in time and treatment is delayed, the consequences will be disastrous. Therefo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/88G08B21/04
CPCG01S13/886G08B21/043
Inventor 李牧柯熙政王昭杨恒向君
Owner XIAN UNIV OF TECH
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