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Multi-information based emotion recognition method and device

An emotion recognition and multi-information technology, applied in the field of human-computer emotional interaction, can solve the problems of inaccurate measurement results, single information, and no consideration of multi-dimensional emotion classification and identification, so as to improve the accuracy and overcome the single information.

Inactive Publication Date: 2019-03-26
中山大学南方学院
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when using the existing technology for emotion recognition, it is found that the collected information for identifying and representing emotional changes is relatively single, and the fusion of multi-dimensional and multi-influencing factors is not considered for the classification and recognition of emotions, resulting in inconsistent measurement results. precise

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  • Multi-information based emotion recognition method and device

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Embodiment Construction

[0032] The technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

[0033] See Figure 1 to 2 .

[0034] See figure 1 , Is a schematic flow chart of the emotion recognition method based on multiple information provided by an embodiment of the present application, such as figure 1 As shown, the emotion recognition method includes steps S11 to S13. The specific steps are as follows:

[0035] Step S11, collecting the motion signals and physiological signals of the human body, and extracting multiple characteristic data accor...

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Abstract

The invention discloses a multi-information based emotion recognition method and device. The method includes: acquiring human body action signals and physiological signals, and extracting multiple feature data according to the action signals and physiological signals; acquiring multiple feature weights in one-to-one correspondence to the multiple feature data, and retaining the feature data with the feature weights within a preset weight range; and recognizing the retained feature data with a trained decision tree classifier, thus obtaining corresponding emotional signals. Compared with the prior art, the method and device provided by the invention judge and classify the emotions of population with emotional uncontrollability through multi-information and multi-dimension, overcome the problem of single information representing emotional changes, and then improve the accuracy of emotional recognition.

Description

Technical field [0001] This application relates to the technical field of human-computer emotional interaction, and in particular to a method and device for emotion recognition based on multiple information. Background technique [0002] Emotions play a pivotal role in people’s lives and have a great impact on people’s thinking, decision-making and behavior. If you are often faced with heavy mental pressure, long-term negative emotions can easily lead to insomnia and increase anxiety, depression, etc. The incidence of mental illness threatens people’s health and even lives. Therefore, recognizing the emotions of people who are easily out of control, such as disabled people, and giving corresponding feedback can effectively alleviate the mental pressure of such people and improve the physical and mental health of the human body. [0003] In order to solve the above problems, in the prior art, facial expression recognition, voice emotion recognition, emotion recognition of physiolog...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/11A61B5/021
CPCA61B5/021A61B5/11A61B5/165A61B5/7203A61B5/7253A61B5/7267
Inventor 曹惠茹钟嗣东黄凯帆祝文坚谢景昌
Owner 中山大学南方学院
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