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Project
SHASIZE: a predictive tool based on statistical shape modeling for accurate clothing size prediction.
Clothing webshops have to deal with a large number of returns because the customer orders the wrong size, so a lot of money (€600 billion worldwide) is lost. SHASIZE aims to create a true-to-life virtual mannequin, based on a few simple input parameters (length, weight, circumferences). This mannequin determines how well the garment fits.
Date:1 Apr 2019 → 30 Sep 2019
Keywords:VIRTUAL MANNEQUIN, CLOTHING SIZE
Disciplines:Statistical physics, Signal processing