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Home elder posture detection method and system, storage medium, equipment and application

A detection method and attitude technology, applied in the field of smart home, can solve the problems of not being able to apply to the real environment, easily infringing on privacy, and inaccurate recognition results, so as to achieve the effect of taking care of the elderly conveniently and reducing the workload

Pending Publication Date: 2021-09-24
HARBIN INST OF TECH AT WEIHAI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] (1) The recognition results of the existing human gesture recognition technology are inaccurate;
[0015] (2) Most of the existing posture recognition is based on wearable and RGB graphics, the data security is not high, and it is easy to violate privacy;
[0016] (3) Research on pose recognition based on depth images is all aimed at experimental data, and the research on pose recognition is carried out on the depth images obtained by posing, and cannot be applied to the real environment

Method used

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  • Home elder posture detection method and system, storage medium, equipment and application
  • Home elder posture detection method and system, storage medium, equipment and application
  • Home elder posture detection method and system, storage medium, equipment and application

Examples

Experimental program
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Embodiment 1

[0134] 1. Skeletonization of depth images

[0135] 1.1 In order to achieve the ultimate goal of depth picture pose recognition, model training and testing after having these data.

[0136] 1.2 Depth image acquisition

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Abstract

The invention belongs to the technical field of smart home, and discloses a home elder posture detection method and system, a storage medium, equipment and application, and the method comprises the steps that an image collection module carries out the collection of the home environment data of the elder, and carries out the publishing and processing of the collected data; a human body skeletonization module obtains a human body 3d skeleton diagram through feature extraction, key point detection, PAF detection, key point connection, conversion of skeleton coordinate points into 3D points and rotation of the 3D skeleton points based on the acquired image; a posture recognition module performs human body posture recognition through feature extraction and posture matching; a UI module displays a human body 3D skeleton diagram and a human body posture recognition result; and meanwhile, alarm reminding is performed. According to the home elder posture recognition system based on the depth image, family members or medical staff can see the current posture of the elder, the system can prompt the posture of the elder, the workload of the medical staff can be well reduced, and the medical staff can take care of the elder more conveniently.

Description

technical field [0001] The invention belongs to the technical field of smart home, and in particular relates to a posture detection method, system, storage medium, equipment and application of an elderly person at home. Background technique [0002] Moderate exercise can improve the cognitive function of the elderly with McI and improve cognitive function; therefore, moderate exercise is very important for the elderly. In addition, if the elderly sit for a long time, the heart pump will weaken, the heart function will decline, and the blood circulation will slow down, which will cause limb ischemia, brain hypoxia, and mental decline. And it will cause insufficient oxygen supply, affect muscle function, cause muscle relaxation, atrophy, stiffness, soreness, and even difficulty in moving: [0003] Many problems will also appear after standing for a long time. For example, standing for a long time will increase the risk of cardiovascular disease. Standing for a long time wil...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/62
CPCG06F18/22G06F18/214
Inventor 丁德琼胡鑫李政佐王昊初佃辉
Owner HARBIN INST OF TECH AT WEIHAI
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