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Hand function accurate evaluation system and method based on image recognition

An image recognition and hand function technology, applied in the field of image processing, can solve the problems of large individual differences in treatment, relying on physician judgment, strong subjectivity, etc., and achieve the effect of improving calculation accuracy and accurately quantifying rehabilitation evaluation data

Active Publication Date: 2021-12-17
PEKING UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Overcome the shortcomings of the current hand function rehabilitation evaluation methods that rely too much on physician judgment, large individual differences in treatment, and strong subjectivity

Method used

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  • Hand function accurate evaluation system and method based on image recognition
  • Hand function accurate evaluation system and method based on image recognition
  • Hand function accurate evaluation system and method based on image recognition

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Embodiment Construction

[0061] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0062] figure 1 It is a block diagram of a system for accurately evaluating hand function based on image recognition according to an exemplary embodiment.

[0063] Such as figure 1 As shown, according to the first aspect of the embodiments of the present invention, a system for accurately evaluating hand function based on image recognition is provided, including:

[0064] Hand motion video ac...

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Abstract

The invention relates to a hand function accurate evaluation system and method based on image recognition, and the method comprises a hand motion video obtaining module which is used for obtaining a hand motion video of each testee in a preset time period; a video processing module which is used for carrying out hand key point labeling on the hand motion video so as to determine space coordinate position data of key points in the hand motion video; a data analysis module which is used for calculating a change curve of each finger of the left hand and the right hand relative to the movement distance along with time by taking the left palm bottom position and the right palm bottom position as reference points according to the space coordinate position data of the key points in the hand movement video, and converting the change curve of the relative distance along with the time into characteristic parameters required for evaluating the hand movement function; and a result storage and output module which is used for storing the characteristic parameters required for evaluating the hand functions and constructing and outputting a hand movement function database.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a system and method for accurately evaluating hand function based on image recognition. Background technique [0002] The hand is an important carrier for human beings to complete information communication, emotional communication, and perform the most delicate, flexible and complex motor functions in daily life. Studies have shown that the function of the upper limbs accounts for 60% of the functions of the whole body, while the functions of the fingers account for 90% of the functions of the upper limbs. Hand dysfunction will cause patients to be unable to take care of themselves to a certain extent, which not only brings inconvenience to the patient himself, but also brings burden to the patient's family members. At present, the incidence of hand dysfunction caused by hand trauma, stroke or other neurodegenerative diseases such as cervical spondylosis is increasing. ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/23
Inventor 伊鸣黄新瑞周非非陈曦商潇腾
Owner PEKING UNIV
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