Development of a fitting-ensured men’s garment block pattern predictionmodel for people with convex belly (PWCB)

The prevalence of People with a Convex Belly (PWCB) has been steadily increasing due to dietary and lifestyle changes. Standard garments available in the market are unsuitable for individuals with visible belly protrusion. While adapting patterns designed for individuals with normal morphology may be a potential solution, the design efficiency is currently inadequate. The purpose of this study is to propose the development of a Garment Block Pattern Prediction model to efficiently design fitting-ensured patterns for PWCB. This model aims to generate garment patterns that ensure a proper fit based on morphological data specific to PWCB. To achieve this objective, we simulate the mapping relationship between the body dimensions of PWCB and the dimensions of garment block patterns, which are adjusted to ensure a proper fit. Firstly, we identify key morphological dimensions of PWCB’s bodies and determine the dimensions of garment block patterns using traditional garment pattern formulas. Secondly, we develop 130 fitting-ensured garment samples using CLO 3D software. Subsequently, we establish the mapping relationship using a linear regression model. The proposed prediction model in this study successfully enables the realization of personalized fitting-ensured garment block patterns for PWCB. This research significantly enhances the efficiency of pattern-making for PWCB and establishes a foundation for the automation and intelligence of garment pattern-making specifically tailored to PWCB’s needs.