Multi-modal nervous emotion recognition method and device, equipment and storage medium

A technology of nervousness and identification methods, applied in the field of intelligent identification, can solve problems that affect workers' work efficiency and increase safety risks, and achieve the effect of avoiding risks

Pending Publication Date: 2022-04-19
GUANGDONG POWER GRID CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When workers are overly nervous, it will affect the work efficiency of workers and increase safety risks

Method used

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  • Multi-modal nervous emotion recognition method and device, equipment and storage medium
  • Multi-modal nervous emotion recognition method and device, equipment and storage medium
  • Multi-modal nervous emotion recognition method and device, equipment and storage medium

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Embodiment Construction

[0035] 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 some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0036] It should be understood that the step numbers used herein are only for convenience of description, and are not intended to limit the order in which the steps are performed.

[0037] It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms...

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Abstract

The invention discloses a multi-mode nervous emotion recognition method and device, equipment and a storage medium, and relates to the technical field of intelligent recognition. The method comprises the following steps: acquiring a face video, an electroencephalogram signal and a skin electric signal of a testee; performing feature fusion on the face video, the electroencephalogram signal and the skin electric signal by using canonical correlation analysis of an attention mechanism to obtain a fusion feature; and inputting the fusion features into an emotion classification model to obtain an emotion classification result. Feature fusion can be carried out by combining the face video, the electroencephalogram signal and the skin electric signal, whether the emotion of the testee is suitable for dangerous work or not is detected in multiple aspects, and risks are avoided in advance.

Description

technical field [0001] The present invention relates to the technical field of intelligent recognition, and in particular to a method, device, equipment and storage medium for multimodal stress recognition. Background technique [0002] Nervous emotion detection is one of the important indicators to judge whether workers working at heights can continue to work. When workers are overly nervous, it will affect the work efficiency of workers and increase safety risks. By detecting the tension of workers, the working status of workers can be adjusted appropriately to avoid potential risks. Therefore, it is very necessary to identify the emotions of those who need to perform dangerous operations in advance. Contents of the invention [0003] The purpose of the present invention is to provide a multimodal nervous emotion recognition method, device, equipment and storage medium, so as to carry out emotional recognition on personnel who need to perform dangerous operations in ad...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/369A61B5/24A61B3/14A61B3/113A61B3/11
CPCA61B5/165A61B5/0077A61B5/369A61B5/24A61B3/14A61B3/113A61B3/112A61B5/7267
Inventor 刘羽中李华亮范圣平沈雅利王琪如熊超琳谢庭军翟永昌
Owner GUANGDONG POWER GRID CO LTD
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