Method and system for applying facial expression recognition in big data analysis

A technology of facial expression recognition and application method, applied in the field of biometrics, can solve the problems of difficult coding, high actual deviation of analysis results, and elusive meaning.

Inactive Publication Date: 2015-01-21
姜羚
View PDF5 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0016] 3. Happy: open mouth, widen mouth
Its disadvantages are: the meaning of the content is elusive, it is difficult to form a code, there may be multiple meanings, and there may be more than one model to explain the same concept
[0022] In terms of the accuracy of co...

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 system for applying facial expression recognition in big data analysis
  • Method and system for applying facial expression recognition in big data analysis
  • Method and system for applying facial expression recognition in big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0123] The present invention analyzes the content of a section of western economics teaching video to understand the acceptance, difficulty, popularity of lecturers and other information in the video. The sample data obtained here is 2000, that is, 2000 users participate in the investigation. details as follows,

[0124] 1) The user turns on the video, and the image acquisition device starts to collect the expressions of the students;

[0125] 2) In the video, at the position from 2 minutes 15 seconds to 2 minutes 30 seconds, the user shows a smile;

[0126] 3) Record the position of the video and the expression of the user at this time;

[0127] 4) Continue to play the video, and the user shows disgust at the position from 5 minutes 30 seconds to 5 minutes 40 seconds;

[0128] 5) Continue to record the position of the video and the expression of the user at this time;

[0129] 6) After the video is played, the recorded expression process of the student is saved in the larg...

Embodiment 2

[0149] The present invention analyzes the content of an electronic publication about solving pi with a computer-implemented algorithm again, so as to understand information such as the degree that this electronic publication is approved, and obtaining sample data here is 500 copies, specifically as follows,

[0150] 1) The user opens the electronic publication, and the image acquisition device starts to collect user expressions;

[0151] 2) In the process of reading the electronic publication, the user shows a smile when reading 25 pages;

[0152] 3) Record the position of the publication and the expression of the user at this time;

[0153] 4) Continue reading the electronic publication, and find that when the user reads page 36, the user shows disgust and closes the electronic publication;

[0154] 5) At this time, continue to record the reading position, the user's expression and the closing operation;

[0155] 7) Repeat steps 1-5 until all sampled users have browsed the ...

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 a method and system for applying facial expression recognition in big data analysis. The method comprises the steps that the information of facial expressions of a large number of users showed in the process of reading is recorded, the positions of the information of the showed facial expressions and the classes of the facial expressions are recorded, and when it is needed, according to screening conditions, the results according with the screening conditions are obtained through statistics in data of records of the facial expressions of the users and reading content. The purpose that through an Internet big data statistics mode, samples are pushed to infinite, feedback data are analyzed, and thus an accurate effective analysis result is obtained is achieved.

Description

technical field [0001] The invention belongs to the technical field of biometrics, and in particular relates to an application of facial expression recognition in big data analysis. Background technique [0002] With the rapid development of computer technology and artificial intelligence technology and related disciplines, the degree of automation of the whole society is constantly improving, and people's demand for human-computer interaction similar to the way people communicate is becoming stronger and stronger. If computers and robots can understand and express emotions like humans, it will fundamentally change the relationship between humans and computers and enable computers to serve humans better. Expression recognition is the basis of emotion understanding, the prerequisite for computers to understand people's emotions, and an effective way for people to explore and understand intelligence. If the realization of computer understanding and recognition of human facial...

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): G06T7/00G06K9/62
CPCG06F16/9535G06V40/171G06V40/175
Inventor 谢灿豪周济济
Owner 姜羚
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