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Emotion recognition method based on convolutional neural network and system thereof

A convolutional neural network and emotion recognition technology, applied in the field of EEG signal recognition, can solve the problems of large detection equipment, limited application scenarios, and cumbersome operations, and achieve the effect of improving efficiency and accuracy and broadening application scenarios

Inactive Publication Date: 2021-07-30
北京脑陆科技有限公司
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AI Technical Summary

Problems solved by technology

These methods are cumbersome, inefficient, and have large errors. At the same time, the application scenarios are limited due to the large size of the detection equipment.

Method used

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  • Emotion recognition method based on convolutional neural network and system thereof
  • Emotion recognition method based on convolutional neural network and system thereof

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Embodiment Construction

[0026] The core of the present invention is to provide an emotion recognition method and system based on a convolutional neural network to realize intelligent analysis of EEG signals to judge emotional states, improve recognition accuracy, and reduce recognition time.

[0027] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. 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.

[0028] Please refer to figure 1 , figure 1 It is a flowchart of an emot...

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Abstract

The invention discloses an emotion recognition method based on a convolutional neural network and a system thereof, and the method comprises the steps: an EEG signal of a user is collected through EEG signal collection equipment, the EEG signal is preprocessed, and the EEG signal is transmitted to a data analysis system; the data analysis system performs feature extraction on the EEG signals and transmits the EEG signals to the judgment and recognition system; and the judgment and recognition system classifies the emotional state of the user through a convolutional neural network algorithm. According to the method, intelligence of brain wave emotional state detection is realized, the detection accuracy is improved, the detection time is shortened, and the application scene of detection is widened.

Description

technical field [0001] The invention relates to the technical field of EEG signal recognition, in particular to an emotion recognition method and system based on a convolutional neural network. Background technique [0002] Neural networks are part of the field of artificial intelligence research, and the most popular neural networks are deep convolutional neural networks (CNNs). CNNs have achieved great success in many, many research fields, such as: speech recognition, image recognition, image segmentation, natural language processing, etc. CNNs can automatically learn features from large-scale data and generalize the results to the same type of unknown data. [0003] At present, there is no automatic equipment and method for intelligently analyzing EEG signals to judge individual emotional states in the market and clinically. In addition to the traditional manual questionnaire survey, the commonly used emotion detection methods also use large-scale and cumbersome EEG ac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/372
CPCA61B5/165A61B5/7267
Inventor 马鹏程卢树强王晓岸
Owner 北京脑陆科技有限公司
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