Accurate facial paralysis degree evaluation method and device based on H-B grading under CV

An evaluation method and technology of facial paralysis, applied in neural learning methods, acquisition/recognition of facial features, instruments, etc., can solve problems such as large errors and low evaluation efficiency

Active Publication Date: 2020-08-18
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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  • Accurate facial paralysis degree evaluation method and device based on H-B grading under CV
  • Accurate facial paralysis degree evaluation method and device based on H-B grading under CV
  • Accurate facial paralysis degree evaluation method and device based on H-B grading under CV

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Embodiment 1

[0082] See figure 1 This embodiment provides an accurate facial paralysis evaluation method based on HB grading under CV. This method can be applied to facial paralysis detection equipment, as a detection method of medical equipment to detect the degree of facial paralysis of patients with facial paralysis, and can be large-scale, It can be widely used in industrial applications, for example, it can be used as an independent program in mobile phones and clients, which can be used for correction and inspection of facial paralysis patients during non-treatment periods, and it can also be used as a preventive method for non-facial paralysis patients. The method for evaluating the degree of accurate facial paralysis includes the following steps, namely steps (1)-(3).

[0083] Step (1): Establish a key point detection model for facial paralysis. In this embodiment, the method for establishing the key point detection model of facial paralysis includes the following steps, namely steps...

Embodiment 2

[0118] See image 3 This embodiment provides an accurate facial paralysis evaluation method based on H-B classification under CV. The method is similar to that of Embodiment 1, except that the deep full convolutional network model of this embodiment is different. The specific structure of the deep fully convolutional network model of this embodiment can be designed separately according to the specific requirements of users. For the convenience of further introduction, an example of the deep fully convolutional network model structure is now designed as image 3 Shown. The number of down-sampling and up-sampling layers of the deep full convolutional network model is 3 layers, and the down-sampling adopts maxpooling maximum pooling method. The pooling layer size is 2×2 and the step size is both 2. In the dconv deconvolution method, the size of the deconvolution layer is 2×2 and the step length is both 2, and each adjacent up-sampling or down-sampling is separated from the convolut...

Embodiment 3

[0120] This embodiment provides an accurate facial paralysis degree evaluation device based on H-B grading under CV. The device applies the accurate facial paralysis degree evaluation method based on H-B grading under CV in Example 1 or Example 2. Among them, the accurate facial paralysis degree evaluation device includes a detection model establishment module, a data acquisition module, a data processing module, and a facial paralysis degree 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 as hardware modules, which can execute the relevant steps introduced in Embodiment 1 or Embodiment 2.

[0121] The detection model establishment module is used to establish a facial paralysis key point detection model, which is actually used to perform step (1) in Embodiment 1. In the facial paralysis key point detection model, de...

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Abstract

The invention discloses an accurate facial paralysis degree evaluation method and device based on H-B grading under CV. The method comprises the following steps: establishing a facial paralysis key point detection model; acquiring to-be-detected data and processing the to-be-detected data; sequentially inputting an expression-free natural state static image, a sequence image I, a sequence image II, a sequence image III and a sequence image IV into the facial paralysis key point detection model to output a plurality of corresponding groups of face shapes, and updating the plurality of groups offace shapes; evaluating the facial paralysis degree of the to-be-detected user; calculating theta1, theta2, theta3, theta4, theta5, theta6, theta7, theta8, theta9, theta10 and theta11 and comparing the theta1, theta2, theta3, theta4, theta5, theta6, theta7, theta8, theta9, theta10 and theta11 with thresholds; and judging the facial paralysis degree of the to-be-detected user through the comparison result, and calculating a facial paralysis index. According to the invention, the detection model has high detection positioning precision, the precision and accuracy of comprehensive evaluation anddetection of the facial paralysis degree of the to-be-detected user are greatly improved, and a powerful support is provided for prevention, discovery and treatment of facial paralysis patients.

Description

Technical field [0001] The invention relates to an accurate facial paralysis degree evaluation method in the technical field of facial paralysis recognition, in particular to an accurate facial paralysis degree evaluation method based on H-B classification under CV, and also to an accurate facial paralysis degree evaluation device based on H-B classification under CV using the method. Background technique [0002] Facial paralysis is a common disease in which the motor function of facial muscles is blocked. Patients often have difficulty in completing basic facial movements such as closing eyes, raising eyebrows, bulging cheeks, wrinkling nose or opening mouth, and it has a high incidence in my country. Facial paralysis is generally called facial nerve palsy. The general symptom is crooked mouth and eyes. Patients often cannot complete the most basic movements such as raising eyebrows, closing eyes, and bulging mouth. [0003] At present, there are nearly 20 kinds of facial nerve f...

Claims

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Application Information

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Patent Type & Authority Applications(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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