Wearable emotional state recognition device and method based on electroencephalogram signals

A technology of EEG signal and state recognition, applied in psychology devices, medical science, sensors, etc., can solve the problem of high manufacturing and use costs of multi-channel EEG signal acquisition devices, low effectiveness of EEG signals, and low contribution and other problems, to achieve the effect of simple structure, low manufacturing and use costs, and reduced workload

Pending Publication Date: 2021-06-08
西安慧脑智能科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, the cost of manufacturing and using multi-channel EEG signal acquisition devices is high, requiring as many as 32 acquisition electrodes, and professional personnel are also required to assist in the installation and signal acquisition of debugging devices
In addition, from the

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Wearable emotional state recognition device and method based on electroencephalogram signals
  • Wearable emotional state recognition device and method based on electroencephalogram signals
  • Wearable emotional state recognition device and method based on electroencephalogram signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] In order to clearly describe the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, words such as "first" and "second" are used to distinguish the same or similar items with basically the same function and effect. For example, the first threshold and the second threshold are only used to distinguish different thresholds, and their sequence is not limited. Those skilled in the art can understand that words such as "first" and "second" do not limit the number and execution order, and words such as "first" and "second" do not necessarily limit the difference.

[0020] It should be noted that, in the present invention, words such as "exemplary" or "for example" are used as examples, illustrations or illustrations. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "ex...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a wearable emotional state recognition device and method based on electroencephalogram signals, relates to the technical field of electroencephalogram signal analysis, and aims to improve the accuracy of electroencephalogram signal acquisition and analysis. The wearable emotional state recognition device based on the electroencephalogram signals comprises a collection electrode module with a headband as a carrier, a host module, an upper computer and an emotion indication module, wherein the host module is used for carrying out preprocessing and communication on the electroencephalogram signals; and the upper computer is used for analyzing the electroencephalogram signals. When the wearable emotional state recognition device based on the electroencephalogram signals is in a user wearing state, the eight collection electrodes make contact with two positions of the frontal lobe, four positions of the temporal lobe and two positions of the occipital lobe of the head of the human body in a one-to-one correspondence mode. The wearable emotional state recognition device based on the electroencephalogram signals provided by the technical scheme is applied to the emotion classification method.

Description

technical field [0001] The present invention relates to the technical field of emotion classification based on EEG signals, in particular to a wearable emotional state recognition device and method based on EEG signals. Background technique [0002] Among the many means of studying emotions, EEG signals have attracted the attention of many researchers due to their high time resolution and non-disguised features, and are one of the commonly used methods in emotion research. Emotion-related brain regions are widely distributed, and different brain regions have certain differences in response to different emotions. Based on multi-channel EEG data and comprehensive EEG characteristics of various brain regions, scholars from various countries have achieved many valuable results. [0003] At present, in the case of using multi-channel EEG emotion classification, such as using 32 electrode channels, although the signal sampling rate is high, there are many problems. For example, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): A61B5/369A61B5/386A61B5/291A61B5/256A61B5/16
CPCA61B5/165A61B5/6803
Inventor 韩旭韩明张恒
Owner 西安慧脑智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap