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

Emotion assessment method and device based on wearable electrocardio monitoring

An electrical monitoring and wearable technology, applied in emotion evaluation methods and devices, in the field of emotion automatic evaluation based on wearable ECG monitoring, can solve problems such as lack of implementation methods

Active Publication Date: 2019-10-22
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 electrocardio monitoring
  • Emotion assessment method and device based on wearable electrocardio monitoring
  • Emotion assessment method and device based on wearable electrocardio 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 invention provides an automatic emotion assessment method and device based on wearable electrocardio monitoring. The method comprises the steps that an electrocardio signal is collected by wearable equipment and transmitted to a mobile phone terminal, and the mobile phone terminal transmits the received electrocardio signal to a cloud server; the received electrocardio signal is subjected to wavelet denoising at the cloud server, the heart rate variability HRV characteristic of the electrocardio signal is extracted, data normalization is conducted, a model is established for assessing theemotion type, and a result of the emotion type is transmitted back to the mobile phone terminal by the cloud server for real-time display. According to the method and device, simple, convenient and accurate emotion identification can be conducted based on the electrocardio signal, accordingly emotion assessment is achieved, and finally two kinds of emotion types are output.

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 Applications(China)
IPC IPC(8): A61B5/16A61B5/0402
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