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One of the important issues in the bra industry is the size fitting problem, which results in discomfort and dissatisfaction among women users. Studies have shown that over 70% of women wear wrong-sized bras because the traditional way of bra sizing cannot serve the entire range of women’s body shapes. An optimized custom sizing method could result in better-fitting bras and significantly enhance its wearer’s wellbeing and health. This study develops a parametric personalized bra-design algorithm that can generate personalized bra by using self-measurements of women users. In this study, we investigate the bra industry to develop a new self-measuring approach and create a parametric modeling method to design personalized bras. To evaluate the capacity and the accuracy of this algorithm, we compare the measurements from 3D-printed bra prototypes with the self-measurements of the women participants. The preliminary result of this study shows that the parametric personalized bra design algorithm can generate more accurate bra models for different types of body shapes.
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