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A Pain Assessment Method for Human Facial Expression

A facial expression and expression technology, applied in the field of expression recognition and pain assessment, can solve problems such as failure to reach the numerical assessment of pain level, and achieve the effect of anti-interference ability, accurate and accurate assessment of pain

Active Publication Date: 2021-08-03
JIANGSU APON MEDICAL TECHNOLOGY CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Chinese patent: CN201210077351 provides a classification recognition of painful and non-painful expressions, which can effectively identify smiling, quiet, non-painful crying, mild pain, and severe pain expressions, but only the expressions of pain Qualitative classification of the assessment, failed to achieve numerical assessment of pain levels, and its sample is limited to newborns, etc.

Method used

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  • A Pain Assessment Method for Human Facial Expression
  • A Pain Assessment Method for Human Facial Expression
  • A Pain Assessment Method for Human Facial Expression

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Experimental program
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Embodiment

[0050] seefigure 1 , the present invention provides a kind of pain assessment method of facial expression, comprising:

[0051] Step a: image acquisition, using a camera device to capture a frontal image of a person's face;

[0052] Step b: face area extraction, using the adaptive Gaussian filter method to smooth the frontal image of the face, and using the face detection method to detect the position of the face in the image, and crop the largest face area from the image, The specific formula of the Gaussian filtering method is:

[0053]

[0054] Where (x, y) is the pixel coordinates, and δ is the variance.

[0055] The haar classifier using the Viola-Jones algorithm detects whether the image contains a face, extracts the face area, and combines the weak classifiers on the left side of the formula for different features into a strong classifier.

[0056]

[0057] Step c: face area preprocessing, preprocessing the face area through two steps of scale normalization and ...

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Abstract

The present invention relates to the technical field of facial expression recognition and pain assessment, and specifically relates to a pain assessment method for human facial expressions, which successively performs denoising and smoothing processing on the image, detection processing and normalization processing of the position of the human face in the image, and respectively Using the Gabor filter and the maximum pooling method to extract the Gabor pain expression features and the maximum pooling pain expression features, and then perform feature fusion, to maximize the anti-interference ability of the expression feature vector set, and to extract more comprehensive expression features , so that the subsequent pain assessment is more accurate, and finally the SVR regression classifier is used to train and learn the pain expression feature vector set to be trained, and the SVR model is obtained, which can effectively, quickly and accurately evaluate the pain expression level.

Description

[technical field] [0001] The invention relates to the technical field of expression recognition and pain assessment, in particular to a pain assessment method for human facial expressions. [Background technique] [0002] Expression is an important way of people's non-verbal communication, which contains rich emotional information, is the most important carrier of emotion, and is an important way for people to understand emotion. In human communication, in addition to transmitting information through natural language, many other body languages ​​such as facial expressions and body movements can also be used to communicate. In the field of expression recognition, there is no professional research on painful expressions. [0003] At the same time, the assessment of pain in the world is performed manually by medical staff who have received special training and are familiar with various monitoring indicators. The assessment results are more dependent on personal knowledge and ex...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/174G06F18/2134G06F18/2411
Inventor 张智慧周霆王晶沈蔚慈修宇
Owner JIANGSU APON MEDICAL TECHNOLOGY CO LTD
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