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Multi-angle tumble high-risk identification method and system based on skeleton key points

A recognition method and technology of key points, applied in the field of medical image data processing, to achieve the effect of improving cost-effectiveness, improving the quality of medical services, and expanding the security population

Active Publication Date: 2021-10-12
WEST CHINA HOSPITAL SICHUAN UNIV
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  • Description
  • Claims
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Problems solved by technology

The experiments of Erik E.Stone et al. used some gait image parameters, but their system still needs at least two peripherals such as depth-sensing cameras

Method used

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  • Multi-angle tumble high-risk identification method and system based on skeleton key points
  • Multi-angle tumble high-risk identification method and system based on skeleton key points
  • Multi-angle tumble high-risk identification method and system based on skeleton key points

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Embodiment

[0092] As my country's population structure is rapidly entering a deep aging population, the incidence of high-fall risk and early-stage high-fall risk is high in the elderly population; medical care institutions, social security systems, and families are heavily burdened; and intervention resources are relatively limited, and high-fall risk assessment requires high-frequency, Large-scale development.

[0093]There is an urgent need for a low-cost, relatively rapid and objective method and system for screening elderly individuals at high risk of falls to improve the accessibility and convenience of geriatric assessment.

[0094] Such as figure 1 As shown, the present invention provides a multi-angle fall high-risk identification method based on bone key points, including the following steps:

[0095] S10: collect the video stream of the normal walking speed of the crowd, and obtain the original frame image sequence set;

[0096] Specifically, after the original video is extr...

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Abstract

The invention discloses a multi-angle tumble high-risk identification method and system based on skeleton key points, and relates to the technical field of medical image data processing, and the method comprises the steps of collecting a video stream of a normal walking speed of a crowd, and obtaining an original frame image sequence set, the video stream being obtained in one direction; based on a human body posture recognition algorithm, processing each original frame image, and obtaining a skeleton key point and a gait contour map corresponding to each original frame image; performing affine transformation on the skeleton key points to obtain skeleton key points at different angles; acquiring corresponding gait data, joint buckling data and a skeleton feature map based on the coordinates of the skeleton key points at different angles; and establishing a gait recognition network, inputting the obtained data into the gait recognition network for tumble high risk, and obtaining a tumble high risk result and a predicted value related to the tumble high risk result, thereby realizing low-cost, rapid and objective screening and recognition of tumble high risk individuals, and realizing prediction of tumble high risk potential individuals.

Description

technical field [0001] The present invention relates to the technical field of medical image data processing, in particular to a multi-angle high-risk identification method and system based on bone key points. Background technique [0002] As my country's population structure is rapidly entering the aging stage, and the demand for quality of life and physical health of the elderly population is increasing day by day, the pressure from the two and the unbalanced distribution of my country's economy, society and medical care resources have led to a huge gap between supply and demand . Falls have become the number one cause of injury-related death for people over the age of 50 and are considered a serious public health problem. Common injuries suffered by fall victims are fractures of the femur, tibia, or fibula, or ankle. Fractures in the elderly population often result in prolonged bed rest, lung infection, malnutrition, disability, and prolonged hospital stay. More importan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06N3/04G06N3/08G06T3/00G16H50/30
CPCG06N3/04G06N3/08G16H50/30G06T3/02
Inventor 刘怡欣
Owner WEST CHINA HOSPITAL SICHUAN UNIV
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