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Facial pain expression recognition method and system based on depth information

A deep information and facial expression recognition technology, applied in the field of image recognition, can solve problems such as differences, and achieve the effect of privacy protection, great practical value, and protection of life safety.

Pending Publication Date: 2021-07-09
INST OF INTELLIGENT MFG GUANGDONG ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Pain is regarded as an important indicator in medicine. Correctly judging pain can make treatment more effective. The gold standard for pain detection is the patient's "self-report". However, this is not a method that is applicable to all patients. Feelings and judgments are subjective, and reporting of the scale may vary significantly between individuals

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  • Facial pain expression recognition method and system based on depth information
  • Facial pain expression recognition method and system based on depth information
  • Facial pain expression recognition method and system based on depth information

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Embodiment Construction

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045]In addition, the following descriptions of the various embodiments refer to the attached drawings to illustrate specific embodiments in which the present invention can be implemented. The directional terms mentioned in the present invention, for example, "upper", "lower", "front", "rear", "left", "right", "inner", "outer", "side", etc., only is to refer to the direction of the attached drawings. Therefore, the direction terms used are for b...

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Abstract

The invention discloses a facial pain expression recognition method and system based on depth information. The method comprises the following steps: establishing a pain expression data set containing the depth information; preprocessing the acquired pain expression data set; inputting the preprocessed pain expression data set into a frame attention network for training to obtain a pain grading model, wherein the frame attention network comprises a feature embedding module and a frame attention module; and sending expression data which are acquired in real time and preprocessed to the pain grading model for identification, and judging whether to carry out alarm processing according to an identification result. According to the invention, abnormal state detection can be stably carried out on the identified target, early warning can be timely sent to a worker, and the method has great practical value in the fields of public medical treatment, smart old-age care and the like.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a facial pain expression recognition method and system based on depth information. Background technique [0002] The International Association for the Study of Pain defines "pain" as "an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or a description of such damage". Pain is regarded as an important indicator in medicine. Correctly judging pain can make treatment more effective. The gold standard for pain detection is the patient's "self-report". However, this is not a method that is applicable to all patients. Feelings and judgments are subjective, and reporting of the scale may vary significantly between individuals. Behavioral observation of patients, particularly facial expressions, as key behavioral indicators of pain assessment, has been identified as an important way to assess pain, especially when the ...

Claims

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Application Information

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IPC IPC(8): A61B5/00
CPCA61B5/0059A61B5/4824A61B5/746A61B5/7267Y02P90/30
Inventor 李辰潼胡战虎黄天仑李新旺雷欢何峰
Owner INST OF INTELLIGENT MFG GUANGDONG ACAD OF SCI
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