3D Foot Shape Classification for Accurate Shoe Fit Planning
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Solution Overview
Problem
Existing shoe manufacturing methods struggle to accurately fit diverse foot shapes and sizes across different countries and regions, leading to mismatches in foot width and other dimensions, especially in online sales, and require complex size variations that increase manufacturing costs and inventory risks.
Innovation Solution
A body shape analysis device and method that classifies three-dimensional foot shape data into clusters using cosine similarity and principal component analysis, allowing for personalized shoe design based on detailed foot shape characteristics beyond just length and width, and forecasts demand for various shoe sizes and shapes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If shoe size variations are increased to accommodate diverse foot shapes and sizes, then fit accuracy is improved, but manufacturing costs and inventory complexity increase
Solution Approach 1:
The patent segments foot shape measurement into multiple dimensional parameters (length, width, height, curvature) and categorizes feet into distinct shape types. This segmentation allows manufacturers to create targeted shoe models for specific foot shape categories rather than producing numerous size variations for all possible foot shapes, thereby improving fit accuracy while controlling inventory complexity.
Solution Approach 2:
The patent transforms the traditional single-dimensional shoe sizing system into a multi-dimensional classification system based on foot shape parameters. By changing the parameter set used for shoe selection from merely length-based to including width, height, and curvature parameters, the system achieves better fit accuracy without proportionally increasing inventory complexity through intelligent parameter-based categorization.
2Measurement precision
If shoe size variations are increased to accommodate diverse foot shapes and sizes, then fit accuracy is improved, but manufacturing costs increase
Solution Approach 1:
By segmenting foot shapes into distinct categories based on measured parameters, the patent enables manufacturers to produce shoe models targeted at specific foot shape groups. This reduces the total number of shoe variations needed compared to producing all possible size combinations, thereby improving fit accuracy while lowering manufacturing costs through focused production.
Solution Approach 2:
The patent applies partial action by measuring and analyzing only the critical dimensional parameters necessary for foot shape classification rather than attempting to account for every possible foot variation. This selective approach achieves sufficient fit accuracy without the excessive manufacturing complexity and cost that would result from accommodating every conceivable foot shape variation.
3Ease of manufacture
If traditional shoe sizing based on foot length is used, then manufacturing simplicity is maintained, but fit accuracy deteriorates due to ignoring foot width and other parameters
Solution Approach 1:
The patent changes the parameter set from traditional single-dimensional foot length measurement to multi-dimensional foot shape parameters including length, width, height, and curvature. This parameter expansion improves fit accuracy by capturing the true complexity of foot shape variations while maintaining manufacturing simplicity through automated measurement and classification systems that process these additional parameters efficiently.
4Measurement precision
If three-dimensional foot shape measurement is implemented, then fit accuracy is improved, but system complexity and measurement complexity increase
Solution Approach 1:
The patent replaces complex mechanical measurement systems with optical or imaging-based three-dimensional scanning technology. This substitution captures comprehensive foot shape data more efficiently, improving fit accuracy through detailed three-dimensional measurement while actually reducing system complexity by eliminating the need for multiple separate mechanical measurement devices and procedures.
Data Source
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AI summary
A body shape analysis device (50), includes :a model storage unit (22) configured to store, in advance, a plurality of three-dimensional homologous models for a plurality of body shapes with a three-dimensional coordinate group indicating an anatomical feature of at least part of a body; a measurement data acquirer (20) configured to acquire, as measurement data, a three-dimensional coordinate group indicating an anatomical feature corresponding to the three-dimensional homologous model of a body shape of a measurement subject; and an evaluation determination unit (24) configured to determine, among the plurality of three-dimensional homologous models, a three-dimensional homologous model similar to a body shape of the measurement subject by evaluating similarity in coordinates between a three-dimensional coordinate group indicating an anatomical feature in the measurement data and a three-dimensional coordinate group indicating an anatomical feature in each of the plurality of three-dimensional homologous models.