Computational fashion is an emerging interdisciplinary field that integrates principles from computer science, mathematics, and engineering with traditional fashion design. It involves the application of computational techniques, such as algorithms, data analysis, and machine learning, to various aspects of the fashion industry, including design, manufacturing, and consumer experience. Computational fashion aims to enhance creativity, efficiency, and sustainability in fashion by leveraging digital technologies. This can include the use of 3D modeling and simulation to create and visualize garments, the development of smart textiles and wearable technologies, and the implementation of data-driven approaches to trend forecasting and personalization. Computational fashion also explores the intersection of fashion and technology, investigating how digital innovations can transform the way fashion is designed, produced, and consumed. By combining the artistic vision of fashion with the problem-solving capabilities of computation, this field seeks to address challenges such as waste reduction, supply chain optimization, and the creation of inclusive and adaptive clothing. As the fashion industry continues to evolve in response to technological advancements and changing consumer demands, computational fashion plays a crucial role in shaping its future, driving innovation, and fostering a more sustainable and user-centric approach to fashion design and production.
fashion technology, digital fashion, 3D modeling, smart textiles, wearable technology, algorithmic design, data-driven fashion, sustainable fashion
CITATION : "Robert Anderson. 'Computational Fashion.' Design+Encyclopedia. https://design-encyclopedia.com/?E=431583 (Accessed on December 21, 2024)"
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