Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Emotion assessment method and device based on wearable ECG monitoring

A wearable, electrical monitoring technology, applied to emotion assessment methods and devices, in the field of automatic emotion assessment based on wearable ECG monitoring, can solve problems such as lack of implementation methods, and achieve the effect of emotional assessment, simple, convenient and accurate emotion recognition

Active Publication Date: 2022-02-01
SOUTHEAST UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is still no practical way to implement

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
  • Emotion assessment method and device based on wearable ECG monitoring
  • Emotion assessment method and device based on wearable ECG monitoring
  • Emotion assessment method and device based on wearable ECG monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] This example provides an automatic emotional assessment method based on wearable ECG monitoring, including the following steps:

[0053] Step 10, collect the ECG signal with the wearable device and transmit the ECG signal to the mobile terminal, and the mobile terminal transmits the received ECG signal to the cloud server;

[0054] Step 101, the wearable device such as figure 1 As shown, it includes 3 wet ECG electrodes, a preamplifier circuit, a bandpass filter circuit, a 50Hz trap circuit, a main amplifier circuit, an A / D conversion circuit, a microcontroller and a Bluetooth module. The positions of the three wet electrodes are as follows: figure 2 As shown, the RA electrode is attached to the right side of the chest, the LA electrode is attached to the left side of the chest, and the RL electrode is attached to the root of the right leg. The band-pass filter consists of a low-pass filter and a high-pass filter, and limits the frequency range of the ECG signal betw...

Embodiment 2

[0084]This example provides an automatic emotional assessment method based on wearable ECG monitoring, including the following steps:

[0085] Step 10, collecting ECG signals with a wearable device;

[0086] 11) Wearable devices such as figure 1 As shown, it includes 3 wet ECG electrodes, a preamplifier circuit, a bandpass filter circuit, a 50Hz trap circuit, a main amplifier circuit, an A / D conversion circuit, a microcontroller and a Bluetooth module. The positions of the three wet electrodes are as follows: figure 2 As shown, the RA electrode is attached to the right side of the chest, the LA electrode is attached to the left side of the chest, and the RL electrode is attached to the root of the right leg. The band-pass filter consists of a low-pass filter and a high-pass filter, and limits the frequency range of the ECG signal between 0.05-100Hz. The 50Hz notch circuit is used to filter out 50Hz power frequency interference. The magnification of the preamplifier circui...

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 present invention provides a method and device for automatic emotional evaluation based on wearable ECG monitoring. The wearable device is used to collect ECG signals and transmit the ECG signals to a mobile phone terminal, and the mobile phone terminal transmits the received ECG signals to the cloud Server; the cloud server performs wavelet denoising on the received ECG signal, extracts the heart rate variability HRV feature of the ECG signal, performs data normalization, establishes a model to evaluate the emotional type, and the cloud server transmits the result of the emotional type back to the server. The mobile terminal displays in real time. The present invention can perform simple, convenient and accurate emotion identification based on electrocardiographic signals, thereby realizing emotion evaluation, and finally outputting two types of emotions.

Description

technical field [0001] The invention belongs to the technical field of electrocardiogram monitoring, and relates to an emotion assessment method and device, in particular to an emotion automatic assessment method and device based on wearable electrocardiogram monitoring. Background technique [0002] With the rapid development of modern information technology such as artificial intelligence, people's expectations for the improvement of computer human-computer interaction capabilities are becoming more and more urgent. Affective computing will realize a more humanized human-computer interaction experience, and will be an indispensable capability in the future computer human-computer interaction. As a basic step of the whole affective computing project, emotion recognition plays a very important role. [0003] Emotion recognition is to study the relationship between the signal characteristics of the human body and emotions, and to find out the signal characteristics of the hu...

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
Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/16A61B5/349A61B5/352A61B5/256A61B5/28
CPCA61B5/165A61B5/6802A61B5/7264A61B5/318
Inventor 刘澄玉孙琦李建清
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com