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A method and device for accurate evaluation of the degree of facial paralysis based on h-b grading under cv

An evaluation method, facial paralysis technology, applied in neural learning methods, acquisition/recognition of facial features, instruments, etc., can solve the problems of large errors and low evaluation efficiency, and achieve the effect of improving accuracy and accuracy, and high detection and positioning accuracy

Active Publication Date: 2021-04-30
SHENZHEN DJ INNOVATION IND CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problems of large errors and low evaluation efficiency in the existing facial paralysis degree evaluation method, the present invention provides an accurate facial paralysis degree evaluation method and device based on H-B classification under CV

Method used

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  • A method and device for accurate evaluation of the degree of facial paralysis based on h-b grading under cv
  • A method and device for accurate evaluation of the degree of facial paralysis based on h-b grading under cv
  • A method and device for accurate evaluation of the degree of facial paralysis based on h-b grading under cv

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Embodiment 1

[0083] see figure 1 , the present embodiment provides a method for evaluating the degree of facial paralysis based on H-B classification under CV, which can be applied to facial paralysis detection equipment as a detection method for medical equipment to detect the degree of facial paralysis of patients with facial paralysis, and can be large-scale, Extensive industrial application, for example, it can be used as an independent program in the mobile terminal and client terminal, which can be used for correction and inspection of patients with facial paralysis during the non-treatment period, and can also be used as a preventive method for patients without facial paralysis. Wherein, the method for evaluating the degree of accurate facial paralysis includes the following steps, namely steps (1)-(3).

[0084] Step (1): Establish a facial paralysis key point detection model. In this embodiment, the method for establishing the facial paralysis key point detection model includes th...

Embodiment 2

[0118] see image 3 , this embodiment provides an accurate evaluation method of facial paralysis based on H-B classification under CV, which is similar to that of Embodiment 1, except that the deep fully convolutional network model of this embodiment is different. The specific structure of the deep full convolutional network model in this embodiment can be designed separately according to the specific requirements of users. For the convenience of further introduction, an example of the structure of a deep full convolutional network model is now designed. image 3shown. The number of downsampling and upsampling layers of the deep full convolutional network model is 3 layers, and the downsampling adopts maxpooling maximum pooling method. The size of the pooling layer is 2×2 and the step size is 2. The upsampling adopts The dconv deconvolution method, the size of the deconvolution layer is 2×2 and the step size is 2. Each adjacent upsampling or downsampling is separated by convo...

Embodiment 3

[0120] This embodiment provides an accurate facial paralysis degree evaluation device based on H-B classification under CV, which applies the accurate facial paralysis evaluation method based on H-B classification under CV in embodiment 1 or embodiment 2. Among them, the precise facial paralysis degree evaluation device includes a detection model building module, a data acquisition module, a data processing module and a facial paralysis comprehensive evaluation module. The data acquisition module and the data processing module can form a data acquisition and processing module to be detected. These modules can be used as computer program modules or hardware modules, which can execute the relevant steps described in Embodiment 1 or Embodiment 2.

[0121] The detection model building module is used to set up a facial paralysis key point detection model, which is actually used to implement step (1) in Embodiment 1. In the facial paralysis key point detection model, define the adja...

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Abstract

The invention discloses a method and device for accurately evaluating the degree of facial paralysis based on H-B classification under CV. The method includes: establishing a facial paralysis key point detection model; obtaining data to be detected and processing the data to be detected: inputting the expressionless natural state static image, sequence image 1, sequence image 2, sequence image 3, and sequence image 4 into the facial paralysis key In the point detection model, the corresponding multiple sets of face shapes are output, and multiple sets of face shapes are updated; the degree of facial paralysis of the user to be detected is evaluated: calculate θ 1 , θ 2 , θ 4 , θ 6 , θ 8 , θ 10 , θ 11 And compare them with their thresholds respectively; judge the degree of facial paralysis of the user to be detected by comparing the results, and calculate the facial paralysis index. The invention can make the detection model have higher detection and positioning accuracy, greatly improve the accuracy and accuracy of the comprehensive evaluation and detection of the degree of facial paralysis of the user to be detected, and provide strong support for the prevention, discovery and treatment of facial paralysis patients.

Description

technical field [0001] The present invention relates to a method for evaluating the degree of accurate facial paralysis in the technical field of facial paralysis recognition, in particular to a method for evaluating the degree of accurate facial paralysis based on H-B classification under CV, and also to a device for evaluating the degree of accurate facial paralysis under CV based on H-B classification using the method. Background technique [0002] Facial paralysis is a common disease in which the motor function of facial muscles is hindered. Patients often have difficulty in completing basic facial movements such as closing eyes, raising eyebrows, puffing cheeks, wrinkling nose or opening mouth, and it is an area with a high incidence in my country. Facial paralysis is generally called facial paralysis. The general symptom is that the mouth and eyes are crooked. Patients often cannot even complete the most basic movements such as raising eyebrows, closing eyes, and puffin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06V40/165G06V40/174G06V40/171G06N3/045
Inventor 冯少华李伟中李健金波邓利平冼上轩
Owner SHENZHEN DJ INNOVATION IND CO LTD
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