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Sustainable Algorithmic Modeling of Personalized Garments

Project description

Tailor-made and fashionable garments of the future

Over the last century, many of the processes in clothing manufacturing and retail have remained the same despite the emergence of new technologies. There is a real need for change in how clothes are designed, made and delivered – such a change that will bring added value, quality and environmental benefits. Contributing to this, the EU-funded MYCLOTH project aims to develop the next-generation computer-aided design tools for professionals in the textile and garment industry. The project's work will lead to algorithms and software that will aid the transition from mass-produced clothing in standardised sizes to custom-tailored garments that will optimally fit an individual's body measurement.

Objective

Clothing is a fundamental and indispensable part of human existence, and dressing people has tremendous societal, economical, and environmental impact. The digital technological revolution has not yet achieved its full potential in the garment manufacturing and retail domain, where many of the processes remain essentially unchanged for a century. In addition, the “fast fashion” approach of selling large volumes of garments at very low prices and changing collections very frequently leads to significant waste of natural and human resources: according to recent research nearly 50% of all manufactured garments are imminently destined for landfill or incineration.

A fundamental, radical change is required to the way clothes are designed, manufactured and delivered to consumers, generating value and attachment via quality instead of quantity and curbing toxic overproduction. The goal of this project is to bring transformative technological advances in geometric modeling and optimization of personalized, custom-fitted and fabricable garments in order to crucially support this change. To reach our goals, we must break away from traditional shape representations and modeling pipelines and develop a dedicated mathematical and algorithmic foundation for digital cloth and garment modeling. Our envisioned theoretical basis of the digital garment shape space will on the one hand facilitate a novel interactive modeling framework to support apparel designers in the creative task of template garment design in a reality-faithful manner, and on the other hand serve as the enabling foundation for automated, algorithmic garment personalization to perfectly fit any human body model. In stark contrast to current practice of standardized confection sizes, our framework will enable on-demand fabrication of custom-tailored clothing while being inclusive of the full diversity range of human shapes, and anticipate the proliferation of digital garment fabrication technology.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-COG - Consolidator Grant

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2020-COG

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Host institution

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 000 000,00
Address
Raemistrasse 101
8092 Zuerich
Switzerland

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Region
Schweiz/Suisse/Svizzera Zürich Zürich
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 000 000,00

Beneficiaries (1)

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