Method for evaluating pain by face expression

Abstract

The invention relates to the technical fields of expression identification and pain evaluation, and in particular relates to a method for evaluating pain by face expression. The method includes the following steps: successfully denoising and smoothing an image, detecting the position of a face in the image, conducting normalization, extracting Cabor pain expression features by separately using a Gabor filter and the maximum pooling method, and maximum pooling pain expression features and fusing the features, which realizes anti-interference capability of an expression feature vector set at the maximum, enables the extraction of more comprehensive expression features, such that the evaluation is much more accurate; and eventually training and studying the to-be-trained pain expression feature vector set by using a SVR regression classifier, and obtaining a SVR model. The method herein can effectively, fast, and accurately evaluate the grades of pain expressions.

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...

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.

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