Accurate facial paralysis degree evaluation method and device based on face feature points

An evaluation method and face feature technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as large errors and low evaluation efficiency, and achieve high accuracy, high evaluation efficiency, and high detection and positioning accuracy Effect

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 a precise facial paralysis degree evaluation method and device based on facial feature points

Method used

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  • Accurate facial paralysis degree evaluation method and device based on face feature points
  • Accurate facial paralysis degree evaluation method and device based on face feature points
  • Accurate facial paralysis degree evaluation method and device based on face feature points

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Embodiment 1

[0069] see figure 1 , the present embodiment provides a method for accurately evaluating the degree of facial paralysis based on facial feature points, 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 accurate facial paralysis evaluation method includes the following steps.

[0070] 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 the following steps, namely steps (1....

Embodiment 2

[0092] see image 3 , this embodiment provides a method for accurately evaluating the degree of facial paralysis based on facial feature points, which is similar to that of Embodiment 1, except that the depth 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 3 shown. 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 separa...

Embodiment 3

[0094] This embodiment provides a device for evaluating the degree of accurate facial paralysis based on facial feature points, which uses the method for evaluating the degree of accurate facial paralysis based on facial feature points 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.

[0095] 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, de...

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Abstract

The invention discloses an accurate facial paralysis degree evaluation method and device based on face feature points. 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 and theta10 and comparing the theta1,theta2, theta3, theta4, theta5, theta6, theta7, theta8, theta9 and theta10 with threshold values; and judging the facial paralysis degree of the to-be-detected user through the comparison result, andcalculating a facial paralysis index. According to the invention, the detection model has high detection positioning precision, the precision and accuracy of comprehensive evaluation and detection ofthe 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 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 facial feature points, and also to a device for evaluating the degree of accurate facial paralysis based on facial feature points 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 puffing the mouth....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V40/161G06V40/168G06N3/045G06F18/214
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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