Application of Sensors in Intelligent Clothing Design

Jiang, Shali; Ren, Qiong

doi:10.3991/ijoe.v14i06.8694

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…As an industry that people attach great importance to, many scholars are studying the clothing industry. Among them, Jiang and Rens proposed that without changing the sensor material, the comfort and accuracy of clothing can be improved, the comfort reduced by the proximity of the sensor to the skin can be eliminated, and the inaccurate measurement can be transformed into accurate measurement [6]. Zou et al aim to propose the foCo system and build it in four steps to bridge this gap [7].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Garment Graphic Design System for Artificial Intelligence and 3D Image Analysis

Jia

Xia

Hong

2022

Mobile Information Systems

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The application of artificial intelligence technology not only realizes the transformation of people’s production and lifestyle but also promotes the transformation of the clothing industry. At present, the proportion of artificial intelligence in the clothing industry is becoming larger and larger. Using its advanced methods and technologies of information display and data analysis, this study is worth transforming and optimizing the clothing graphic design system under the artificial intelligence environment, so as to promote the intelligent development of the clothing industry. This study proposes to use three-dimensional image analysis algorithm technology to guide the integration of garment graphic design process and computer network, which is helpful to analyze and solve the imbalance between the singularity of traditional garment pattern design and people’s aesthetic appreciation at present. Using the technology and principle of artificial intelligence for reference, the intelligent clothing graphic design system is constructed and analyzed. In the analysis of the clothing graphic design system of a group, the group applied artificial intelligence technology to the customized clothing in the production workshop of the company. Although the efficiency of the adjustment system is not as good as that of mass production, it eliminates inventory, and its net profit can reach 20–30%, which is much higher than that of traditional clothing. In contrast, the industry reported a net profit of 12% of the highest level. Therefore, it is urgent to analyze the intelligent garment graphic design system through artificial intelligence technology.

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Section: Introductionmentioning

confidence: 99%

Intelligent Garment Graphic Design System for Artificial Intelligence and 3D Image Analysis

Jia

Xia

Hong

2022

Mobile Information Systems

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“…In the design of the dress style to achieve the strengths and weaknesses [7][8]. The three-dimensional and exquisite sense of the velvet flower itself can not only shape the appearance of the dress but also can increase the temperament of the dress itself, make the dress overall more qualitative and improve the quality of the dress [9][10].…”

Section: Introductionmentioning

confidence: 99%

“…contrast, AdaIN can automatically calculate the mean and variance compared to IN, and only one forward propagation is needed to generate the style-migrated velvet flower images, which will speed up the algorithm training. Its formula is shown in equation(9).…”

mentioning

confidence: 99%

Application of 3D visual perception-driven design of velvet flowers in traditional dresses

Fan

2023

Applied Mathematics and Nonlinear Sciences

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This paper firstly analyzes the specific application of velvet flowers on women’s dresses from the perspective of fashion aesthetics and with the understanding of the background and development trend of dresses. Secondly, based on 3D visual perception, we propose the optimization of the normalization method and loss function optimization, which can improve the migration speed and generation quality of velvet flower design, and then seamlessly fit it to the dress base map by Poisson fusion to realize the intelligent design of velvet flower in dresses driven by 3D visual perception. Then, the color features and attributes of the floral in the dress are studied, and the HSV color space model is used to extract the high-frequency colors and attributes of the dress. Then, the floral design is digitized, and the dress design is driven by 3D visual perception is studied and analyzed. The results show that the loss value of the dress design style migration network trained based on AdaN is the smallest, and the loss value is reduced by 0.19 compared to the dress design style migration network using IN and 0.31 compared to BN. The velvet flower design on the dress design base map can be implemented based on the foundation provided by this study.

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