Body Shape Classification for Apparel Recommendations

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Solution Overview

Problem

Current methods for determining clothing fit online are inadequate, relying solely on size measurements and subjective categorization, leading to high return rates and inaccurate predictions of how clothing will look on a female figure, as they do not consider the visual effect of garment attributes on body shape.

Innovation Solution

A system and method using a vertical visual frame as a geometric guideline to objectively categorize body shapes and provide apparel recommendations, taking into account attributes beyond size, such as waist definition and bust size, to ensure a balanced and desirable fit.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If standard size measurements are used to determine clothing fit, then the purchasing process is simple and quick, but the fit accuracy is poor and return rates are high

Engineering Contradiction:

Improvepurchasing efficiencyVSAvoidfit prediction accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent transforms the fit determination from relying solely on numerical size measurements to using visual body shape classification. The system changes the parameters from simple circumference measurements to geometric shape characteristics (vertical frame alignment, body proportions), enabling more accurate fit prediction while maintaining online shopping convenience

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent introduces a body shape classification system as an intermediary between size measurements and clothing recommendations. This intermediary layer uses geometric guidelines and visual assessment to bridge the gap between simple size data and complex fit outcomes, reducing returns while preserving purchasing efficiency

Inventive Principle:

Principle #24Intermediary (Mediator)

2Device complexity

If only size measurements are considered for clothing recommendations, then the recommendation system is simple, but it ignores the visual effect of garment attributes on body shape

Engineering Contradiction:

Improverecommendation system complexityVSAvoidvisual effect information

Core Design Contradiction:

Device complexityVSLoss of information

Solution Approach 1:

The patent adds a visual dimension to the recommendation system by introducing body shape classification based on geometric guidelines. Instead of relying solely on one-dimensional size measurements, the system incorporates two-dimensional visual assessment of body proportions and alignment, capturing the visual effect of garment attributes that was previously lost

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

3Ease of operation

If subjective categorization methods are used for body shape classification, then the classification process is simple, but human error and mis-categorization occur

Engineering Contradiction:

Improveclassification easeVSAvoidclassification accuracy

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent replaces subjective human judgment with an objective geometric guideline system. Instead of relying on human operators to visually assess and categorize body shapes (prone to error), the system uses standardized geometric references and alignment rules that provide consistent, reliable classification while remaining easy to implement

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12136228B1Systems and methods for shape classification of the human figure for apparel recommendations

Publication Date: 2024.11.05 REVSHOPP INC

AI summary

Systems and methods are described for objectively determining the shape category of a human figure using a vertical visual frame of comparative reference. A geometric guideline is provided as an overlay that is applied to an image of a human body whereby the body is categorized into a shape cohort (type). The shape categories can be used for various purposes, such as recommending and fitting apparel for online purchases.