Prior knowledge-based multi-modal ethnic identity sense quantitative measurement method

A measurement method and technology of prior knowledge, applied in the field of multimodal information fusion, multimodal national identity quantification measurement based on prior knowledge, can solve problems such as the inability to fundamentally eliminate errors

Inactive Publication Date: 2018-07-06
MINZU UNIVERSITY OF CHINA
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although researchers have tried to solve this problem by using methods such as polygraph technology, anonymous surveys, and behavioral observations, none of them can fundamentally eliminate this error.

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
  • Prior knowledge-based multi-modal ethnic identity sense quantitative measurement method
  • Prior knowledge-based multi-modal ethnic identity sense quantitative measurement method
  • Prior knowledge-based multi-modal ethnic identity sense quantitative measurement method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0076] Examples of cultural identity in the sense of identity in this embodiment include clothing, festivals, religion, and language. There are 5 images of each category. Images were classified using an EEG-based national identity quantitative measurement system, and its structural framework is attached figure 1 As shown, the specific steps include three stages: EEG data acquisition process, data classification process and multimodal data fusion.

[0077] The EEG data acquisition process includes steps A to C, specifically:

[0078] Step A, compiling a questionnaire survey on national identity and cultural identity;

[0079] Step B. On the basis of the operation in step A, select 10 Mongolian subjects (healthy, right-handed, college students) to conduct self-assessment of cultural identity, and calculate the distribution histogram of the survey results of 4 questions.

[0080] Step B.1: Find the average for each survey question in the category Among them, i represents eac...

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 relates to a prior knowledge-based multi-modal ethnic identity sense quantitative measurement method and belongs to the intelligent pattern recognition and ethnology research crossing filed. According to the measurement method, ethnic minority emotion pictures are adopted as basic materials; ethnic minority identity sense survey questionnaire questions are converted into the induction materials of electrophysiological signals; after the EEG information of subjects is acquired, the EEG information implying identity senses is classified through a fuzzy neural network learning-basedEEG emotion feature extraction and classification algorithm; questionnaire survey results and EEG classification results are fused, so that ethnic identity sense quantitative measurement is realized;and the objective feeling of the subjects for the ethnic identity sense and national identity sense can be automatically analyzed. With the method of the invention adopted, the subjective influence of questionnaire surveys can be decreased, the objectivity of identity sense classification can be enhanced, and ethnic identity sense quantitative classification is more accurate and more efficient.

Description

technical field [0001] The invention relates to a multimodal information fusion method, in particular to a multimodal national identity quantitative measurement method based on prior knowledge, which belongs to the cross field of intelligent pattern recognition and ethnological research. Background technique [0002] With economic development and scientific and technological progress, exchanges between different countries and different ethnic groups have become closer and closer, and human society has entered the era of globalization. In the process of communication and interaction between various ethnic groups and multiple cultures, more and more attention has been paid to the influence of cultural and religious backgrounds, but behind it lies the issue of cultural integration and national identity. [0003] National identity is based on culture and is an important issue in the field of ethnological research. Ethnic identity has always attracted the attention of ethnologis...

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): G06K9/62G06K9/00A61B5/0484A61B5/00
CPCA61B5/7235A61B5/7264A61B5/316A61B5/378G06F2218/04G06F2218/08G06F2218/12G06F18/24G06F18/253G06F18/254
Inventor 蒋惠萍杨国胜
Owner MINZU UNIVERSITY OF CHINA
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