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Human body behavior monitoring method and system and storage medium

A human body and behavior technology, applied in a variety of biometric applications, voice analysis, instruments, etc., can solve the problems of wearing sensors to detect danger, inconvenient behavior, etc., to solve the problem of inconvenient detection of dangerous behavior, avoid discomfort, avoid Detect inconvenient effects

Pending Publication Date: 2022-07-01
江西中业智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, the purpose of the present invention is to provide a human behavior monitoring method, system and storage medium to solve the problem of inconvenient detection of dangerous behaviors by wearing sensors in the background technology

Method used

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  • Human body behavior monitoring method and system and storage medium
  • Human body behavior monitoring method and system and storage medium
  • Human body behavior monitoring method and system and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0048] see figure 1 , which shows the human behavior monitoring method in the first embodiment of the present invention, including steps S11-S16.

[0049] S11. Acquire a target video at a first preset frequency, where the target video includes several video frames, and perform semantic segmentation on the video frames to obtain ground position data and human body position data.

[0050]The human behavior monitoring method in this embodiment can be applied to the monitoring of patients in the hospital and the monitoring of the elderly at home. The camera obtains the real-time behavioral feature video of the ward according to the first preset frequency, and judges whether the ward's real-time behavioral feature conforms to the behavior of falling, convulsing or alarming behavior, so as to alarm and improve the safety of the ward. First, obtain the target video of the supervised person at the first preset frequency, the target video includes the supervised person and the surroun...

Embodiment 2

[0079] see figure 2 , shows the human behavior monitoring method in the second embodiment of the present invention, the behavior monitoring method in this embodiment is based on the method in the first embodiment, by detecting the cough voice in the video voice, and then adjusting the obtained video in the first embodiment The preset frequency to adjust the frequency of detection of human behavior features in the video. The method in this embodiment includes steps S21-S24.

[0080] S21. Acquire voice data in the target video, and detect cough voice data in the voice data.

[0081] The voice module set in the camera can be used to obtain the voice data of the guardian, obtain the target video through the camera, the target video includes the voice data of the guardian, and detect whether there is a cough in the voice data through an algorithm, such as through a hidden Markov model ( Hidden Markov Model, HMM) can quickly and accurately identify the cough voice data in the voi...

Embodiment 3

[0101] Another aspect of the present invention also provides a human behavior monitoring system, please refer to image 3 , the block diagram of the human behavior monitoring system in this embodiment is shown, including:

[0102] a semantic segmentation module, configured to acquire a target video at a first preset frequency, where the target video includes several video frames, and perform semantic segmentation on the video frames to obtain ground position data and human body position data;

[0103] a special data extraction module, used to obtain the feature data of the human body position data, the feature data includes the center position data of the two crotch of the human body and the limb data;

[0104] A twitching behavior judgment module, configured to obtain continuous multi-frame video frames of the target video according to the limb data, and determine whether the standard deviation of the displacement of the limb data in the continuous multi-frame video frame is ...

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Abstract

The invention provides a human body behavior monitoring method and system and a storage medium. The method comprises the steps that center position data and limb data of the two hips of a human body are acquired; judging whether the standard deviation of the limb data displacement in the continuous multi-frame video frame is greater than a preset standard deviation or not; and when the height between the central position data of the two crotches and the ground position data is lower than a threshold value, judging whether the height difference between the historical height data and the current height data in the previous preset time period is greater than a preset height difference, and if so, giving an alarm. According to the human body behavior monitoring method and system and the storage medium, whether the human body falls down or not is judged according to whether the height between the central position data and the ground position data is lower than the threshold value or not and whether the height difference between the current height and the height of the previous video frame is larger than the preset height or not; whether the human body is convulsed or not is judged by judging whether the standard deviation of the displacement of the limb data in the continuous multi-frame video frame is lower than the preset standard deviation or not, and the monitoring accuracy and convenience are improved.

Description

technical field [0001] The invention relates to the technical field of human behavior detection, in particular to a human behavior monitoring method, system and storage medium. Background technique [0002] With the development of smart medical care, more and more artificial intelligence technologies have been integrated into the medical field, such as remote diagnosis, remote surgical operation, remote first aid, remote monitoring, remote teaching, smart robots, mobile medical care and other medical fields. Among them, there has been a relatively mature development of smart medical care in the fields of preoperative diagnosis, intraoperative surgical operation, first aid, and medical imaging diagnosis. Remote monitoring of personnel after surgery has also been developed to some extent. [0003] Remote monitoring generally refers to the monitoring of patients in the ward or the elderly living alone. The ward may experience discomfort such as falling, limb twitching, facial ...

Claims

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Application Information

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IPC IPC(8): G06V40/70G06V40/20G06V40/10G06V40/16G06V20/40G06V10/26G08B21/04G10L25/66
CPCG08B21/0407G08B21/043G08B21/0476G10L25/66
Inventor 高园岗张恒星刘丹
Owner 江西中业智能科技有限公司
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