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

Method and device for recognizing facial expressions of children or teenagers in real time

A technology for facial expressions and teenagers, applied in character and pattern recognition, computer components, instruments, etc., can solve problems such as inaccurate recognition of facial expressions and emotions of children or teenagers, inaccurate image recognition, and no consideration of video image pixels, etc., to achieve It is convenient for real-time control and management, accurate expression recognition, and the effect of improving the accuracy of monitoring and recognition

Pending Publication Date: 2022-07-29
北京市西城区和平门幼儿园 +1
View PDF1 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The inventor realizes that for emotional monitoring of children or adolescents, the current artificial intelligence-based facial expression recognition scheme still has the following deficiencies: the problem of video image pixels is not considered, and the recognition of low-pixel images may be inaccurate, which may cause serious harm to children. or inaccurate recognition of teen expressions and emotions; not specifically intended for children or teens

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
  • Method and device for recognizing facial expressions of children or teenagers in real time
  • Method and device for recognizing facial expressions of children or teenagers in real time
  • Method and device for recognizing facial expressions of children or teenagers in real time

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0044] In one embodiment, as figure 1 As shown, a method for recognizing the facial expressions of a child or adolescent in real time is provided, the method comprising the following steps:

[0045] Step S1 , acquiring the collected video data in real time, detecting whether there is a face region in each video frame image, and extracting the video frame images in which the face region exists.

[0046]Specifically, detecting whether there is a face area in a certain video frame image specifically includes: first, scaling the currently detected video frame image, so th...

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 method and a device for identifying facial expressions of children or teenagers in real time. The method comprises the following steps: acquiring collected video data in real time, and extracting a video frame with a face region; preprocessing the extracted video frame with the human face area and making a human face expression data set; a facial expression recognition network model is trained, and facial expression features are extracted and marked from the preprocessed video frames; and inputting the video frame marked with the facial expression features into the facial expression recognition network model, and taking the emotion category with the maximum probability as an expression recognition result of the current video frame image and outputting the expression recognition result. According to the method, real-time accurate classification of emotion categories is realized by using big data through the convolutional neural network, and the problem of inaccurate judgment of child or teenager emotion recognition by a teacher in a traditional method is avoided; in addition, a super-resolution reconstruction technology is introduced into image preprocessing, so that the problems of image distortion and low pixel can be solved.

Description

technical field [0001] The present application relates to the field of artificial intelligence technology, and in particular, to a method and device for recognizing the facial expressions of children or adolescents in real time. Background technique [0002] Psychological studies have found that emotions interact with children or adolescents' cognitive activities such as memory and concentration, and can directly or indirectly affect children's or adolescents' learning activities. Positive emotions can increase children's or adolescents' concentration, enhance thinking flexibility, and promote children's or adolescents' learning activities; negative emotions can inhibit children's or adolescents' cognitive processes, reduce their concentration, and make them easily detached from learning activities. Emotions can not only affect their learning activities, but also contagious. Emotional infection is the imitation and integration of non-verbal information of others without awa...

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): G06V40/16G06V10/82G06N3/04
CPCG06N3/045
Inventor 姚辉任洪兵张艳辉王斌李欣章莉
Owner 北京市西城区和平门幼儿园
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