Unlock instant, AI-driven research and patent intelligence for your innovation.

A shoe last size prediction method and prediction device based on deep learning

A technology of deep learning and prediction methods, applied in the measurement device of feet or shoe lasts, neural learning methods, footwear, etc., can solve problems such as high labor costs, inability to choose shoes, and high prices

Active Publication Date: 2022-05-20
李文谦 +1
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But for custom-made shoes, the price remains high. The reasons are: 1. Most of the shoes on the market are standard sizes, designed according to past experience. If you don’t try them on, you often can’t choose the really suitable shoes; To customize suitable shoes, merchants need to provide door-to-door service, but nowadays, labor costs remain high, which is also an important reason for the high price of customized shoes

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
  • A shoe last size prediction method and prediction device based on deep learning
  • A shoe last size prediction method and prediction device based on deep learning
  • A shoe last size prediction method and prediction device based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] Such as figure 1 As shown, a kind of shoe last size prediction method based on deep learning provided by the present invention comprises the following steps:

[0031] S1. Collect tester's foot parameters and corresponding shoe last parameters;

[0032] S2. Clustering the foot parameters collected in (S1), removing obviously outlier noise data, and calculating the clustering center of each size;

[0033] S3. Using a recursive neural network to obtain and output a shoe last parameter prediction model;

[0034] S4, collecting consumer foot parameters;

[0035] S5. Input the foot parameters in (S4) into the shoe last parameter prediction model trained in (S3), to obtain shoe last size and shoe last parameters.

[0036] In the above S1 step, the tester’s foot parameters are collected, including foot length, foot plantar circumference G2, foot tarsal circumference G3, foot pocket heel circumference G4, foot width, palm width, inner width of the outline of the outer protrus...

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 present invention relates to a shoe last size prediction method based on deep learning, comprising the following steps: S1, collecting tester's foot parameters and corresponding shoe last parameters; S2, aggregating the foot parameters collected in (S1) Class, remove obviously outlier noise data, calculate the clustering center of each size; S3, use recursive neural network, obtain and output shoe last parameter prediction model; S4, collect consumer's foot parameter; S5, described ( The foot parameters in S4) are input into the shoe last parameter prediction model trained in (S3) to obtain the shoe last size and shoe last parameters. Aiming at the problem that the current shoe last production is too dependent on experience, an automatic shoe last size prediction method and prediction device based on deep learning are designed, which can automatically, quickly and accurately customize suitable shoes for consumers by collecting consumers' foot parameters.

Description

technical field [0001] The invention relates to a shoe last size prediction method and a prediction device, in particular to a shoe last size prediction method and a prediction device based on deep learning. Background technique [0002] In recent years, e-commerce has become more and more popular, and C2B, B2B, C2C, B2C, O2O and other models have emerged in an endless stream, which has brought traversal to people's consumption, and at the same time reduced the consumption chain and reduced costs. But for custom-made shoes, the price remains high. The reasons are: 1. Most of the shoes on the market are standard sizes, designed according to past experience. If you don’t try them on, you often can’t choose the really suitable shoes; To customize suitable shoes, merchants need to provide door-to-door service, but nowadays, labor costs remain high, which is also an important reason for the high price of customized shoes. [0003] Therefore, how to enable consumers to buy modera...

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 Patents(China)
IPC IPC(8): A43D1/04G06N3/04G06N3/08
CPCA43D1/04G06N3/049G06N3/084Y02P90/30
Inventor 李文谦张水发
Owner 李文谦