Human body physique clustering method based on factor analysis and probabilistic neural network

A probabilistic neural network and factor analysis technology, applied in the field of human body shape clustering based on factor analysis and probabilistic neural network, can solve the problems of too general indicators, unfavorable popularization and use, and difficulty in fully reflecting individual body shape differences, etc., and achieve the goal of parameter simplification Effect

Inactive Publication Date: 2018-11-06
DONGHUA UNIV
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These divisions are based on either the indicators are too general to fully reflect the differences in individual body shapes, or the measurement is inconvenient, which is not conducive to popularization and use.

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
  • Human body physique clustering method based on factor analysis and probabilistic neural network
  • Human body physique clustering method based on factor analysis and probabilistic neural network
  • Human body physique clustering method based on factor analysis and probabilistic neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0025] Embodiments of the present invention relate to a human body shape clustering method based on factor analysis and probabilistic neural network, such as figure 1 As shown, it includes the following steps: collect static human body data and build a human body database; determine 27 basic variables according to the actual and research needs of the clothing industry; use factor analysis to reduce the dimensionality of the 27 ...

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 human body physique clustering method based on a factor analysis and a probabilistic neural network. The method comprises the following steps of collecting static human bodynet body data and constructing a human body database; determining 27 basic variables according to the actual and research needs of the clothing industry; using the factor analysis to reduce the dimensionality of the 27 basic variables, and according to the cumulative contribution rate of principal components, extracting the factor scores of the top N principal components with contribution rate greater than 80%; constructing a probabilistic neural network model of human body physique clustering, wherein the factor scores of the top N principal components is an input layer, and an output layeris the category code of a human body physique; clustering the human body physique based on the factor scores and the probabilistic neural network. The method can directly and effectively classify human body physiques.

Description

technical field [0001] The invention relates to the technical field of clothing structure design, in particular to a human body shape clustering method based on factor analysis and probability neural network. Background technique [0002] One of the important trends in future digital clothing production is tailor-made based on digital technology and network technology. The digital clothing tailor-made technology is to analyze the human body data obtained by the three-dimensional body scanner, use the method of cluster analysis to subdivide the body shape, and recommend the clothing size and size suitable for the consumer, which is convenient. Consumers' choice of clothing is also conducive to production enterprises to carry out targeted production and save costs. It can be seen that accurate body shape clustering is an important part of realizing digital clothing customization. At present, my country's clothing industry divides adult men and women based on three main types...

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): A41H1/02
CPCA41H1/02
Inventor 王竹君王建萍
Owner DONGHUA UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap