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An Evaluation of Garment Fit To Improve Customer Body Fit of Fashion Design Clothing by jurajonovamaftuna is a document available to read on EtoBox.
This study presents a garment fit prediction model utilizing Artificial Neural Networks to evaluate clothing fit based on digital clothing pressures from virtual try-on. The model, trained on data collected from both virtual and real try-on experiments, achieved a prediction accuracy of 93%, significantly outperforming traditional methods. The proposed technology aims to enhance garment design and manufacturing efficiency by providing an automated and accurate fit evaluation process.
- Author
- jurajonovamaftuna
- Language
- EN