Rehabilitation effect evaluation method based on posture recognition

A posture recognition and angle value technology, applied in the field of computer vision, can solve problems such as insufficient pertinence, large error in results, troublesome operation, etc., and achieve the effect of improving rehabilitation level, high accuracy, and reducing error

Inactive Publication Date: 2021-10-08
HUBEI UNIV OF ECONOMICS
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, the existing rehabilitation systems and rehabilitation algorithms still have problems such as insufficient pertinence, poor interactivity, troublesome operation, and large error in results.

Method used

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  • Rehabilitation effect evaluation method based on posture recognition
  • Rehabilitation effect evaluation method based on posture recognition

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Embodiment Construction

[0025] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the following will further explain how the present invention is implemented in conjunction with the accompanying drawings and specific implementation methods.

[0026] refer to figure 1 As shown, the present invention provides a rehabilitation effect evaluation method based on posture recognition, comprising the following steps:

[0027] S1. Continuously acquire the current image of the user through the camera, and transmit the image data to the computer port;

[0028] S2. Identify key points of the human body in the image data based on OpenPose;

[0029] S3. Find the two points of the left and right crotch and the center point of the human body in the key points of the human body, and use the straight line where the two points of the left and right crotch are located as the X-axis, and use the straight line perpendicular to the X-axis and pa...

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Abstract

The invention discloses a rehabilitation effect evaluation method based on posture recognition. The method includes the steps of S1, continuously obtaining a current image of a user through a camera, and transmitting image data to a computer port; S2, identifying human body key points in the image data based on OpenPose; S3, finding a left crotch point, a right crotch point and a human body center point in the human body key points, establishing a user-defined coordinate system by taking a straight line where the left crotch point and the right crotch point are located as an X axis and a straight line which is perpendicular to the X axis and passes through the human body center point as a Y axis, and detecting an angle value change condition of the partial region of the human body by utilizing the user-defined coordinate system and the human body key points; and S4, comparing the angle value change condition of the partial region of the human body detected in the step S3 with a preset judgment standard, and judging the rehabilitation effect of the user according to a comparison result.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a gesture recognition-based rehabilitation effect evaluation method. Background technique [0002] With the development of technology, artificial intelligence, big data and Internet technology are constantly changing our lives. In the past, the medical service model was manpower-heavy, and doctors were under great pressure and the efficiency of diagnosis and treatment was low. Especially during the epidemic, less going out and less contact are advocated to reduce the risk of infection. Therefore, it is hoped that part of the work of doctors can be completed by artificial intelligence. At present, artificial intelligence technology has penetrated into many links of medical services, and medical health has also become an important research and application field of artificial intelligence technology. [0003] For the rehabilitation of patients, at present, various types of rehabilit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11
CPCA61B5/1116A61B5/1128A61B5/4836A61B5/746
Inventor 唐建宇叶雪军刘心雨黄家琪程诺王婧
Owner HUBEI UNIV OF ECONOMICS
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