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Guseva M.A., Getmantseva V.V., Arapko A.M., Beskostova P.R. On the use of artificial intelligence in adaptive clothing design. Journal of Clothing Science. 2025; 10(4). Available at: https://kostumologiya.ru/PDF/18TLKL425.pdf (in Russian).

On the use of artificial intelligence in adaptive clothing design

Guseva Marina Anatolievna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: guseva-ma@rguk.ru
ORCID: https://orcid.org/0000-0003-3491-6132
RSCI: https://elibrary.ru/author_profile.asp?id=829347
SCOPUS: https://www.scopus.com/authid/detail.url?authorId=57197843104

Getmantseva Varvara Vladimirovna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: getmantseva-vv@rguk.ru
ORCID: https://orcid.org/0000-0003-0441-3198
RSCI: https://elibrary.ru/author_profile.asp?id=540375
WoS: https://www.webofscience.com/wos/author/rid/AAA-5313-2021
SCOPUS: https://www.scopus.com/authid/detail.url?authorId=55155482100

Arapko Anastasia Mikhailovna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: anastasia.znamtseva@yandex.ru

Beskostova Polina Romanovna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: polinabes2003@yandex.ru

Abstract. Apparel industry specialists’ interest in finding new tools for shaping consumer image is shifting toward artificial intelligence. Fashion brands use neural networks to analyze competitors, forecast consumer demand, and develop designs for individual products and new collections, as well as prints and textures for textiles. Generative models are trained on multiple samples of clothing images uploaded online by manufacturers and consumers.

The authors’ research has shown that the use of artificial intelligence as a tool for finding new design and technological solutions for functional hospital clothing is currently becoming relevant.

According to medical statistics, one tenth of the population spends part of their life in hospitals due to skeletal injuries and musculoskeletal diseases. Insufficient ergonomics of hospital pajamas reduces consumer satisfaction with their stay in medical facilities. The authors conducted a study of the functional and aesthetic properties of clothing worn by patients undergoing treatment for complicated skeletal injuries of the extremities. It was determined that bone fragment stabilization techniques using transosseous metal structures are common in modern medical practice. The configuration and dimensions of such fixators vary widely, so the design of hospital gowns must allow for the ability to quickly adjust the volume in various areas. The authors developed a method for transforming shoulder and waist garments using pleated inserts. Artificial intelligence was used to find aesthetically acceptable proportional ratios in the sizes of inserts and garment components.

The authors investigated the generation of artificial intelligence images of adaptive garments worn by patients over transosseous fixation devices (TFDs) installed on their limbs. They determined that to obtain reliable images of the «figure-adaptable garment» system, it is necessary to train the neural network to perform the following key actions: recognize TFD models; synthesize parametric descriptions of the products; and generate images of the «figure with TFD-adaptable garment» system.

To prepare the neural networks for training, the authors conducted an experiment generating images of adaptive clothing for patients with AVF. The resulting images were analyzed by the target audience using a natural, intuitive method to assess their aesthetic appeal and comfort.

Keywords: adaptive clothing; inclusive design; artificial intelligence; functional clothing; service-learning

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