RESEARCH OF THE HUMAN BODY SURFACE SHOULDER AREA FOR APPAREL DESIGN USING 3D-SCANNING

Main Article Content

M. RIABCHYKOV
https://orcid.org/0000-0002-9382-7562
L. NAZARCHUK
https://orcid.org/0000-0001-9724-5132

Abstract

Goal. To improve the system of anthropometric standardization of the shoulder area based on 3D scanning with the subsequent creation of a design for an individual consumer.


Methodology. Real three-dimensional anthropometric studies determine the expediency of using modern means of three-dimensional scanning, which establishes the fulfilment of certain requirements for the software and material support of this process.


Modern gadgets in the form of Kinect systems have a budget cost and are quite capable of being used with the benefit of means of three-dimensional determination of dimensions. The use of KScan3D software compatible with Meshlab in the process of scanning the human body makes it possible to generate several points in the form of a DXF file, which determines the coordinates of all points in the triangulation network that forms the surface. The review of the sources of technical and scientific literature was carried out with the help of information-analytical methods of comparative and system-structural analysis.


Results. The article presents a study of the shoulder area of the body surface of women of the Volyn region. The coordinates of the surface points obtained as a result of 3D scanning made it possible to create approximation models in the form of polynomials. This will make it possible to create a design by scanning the resulting analytical surface onto a plane. For further analysis of the obtained data, the projection curves of the shoulder zones were tied to a rectangular coordinate system. As a result of the analysis of the results of three-dimensional scanning of the shoulder area, the possibility of approximating the frontal projection with two branches of the parabola has been proven. New anthropometric points and dimensional features are defined, which are determined based on three-dimensional scanning with the use of computer modelling.


Scientific novelty. The work provides an analytical model of the surface of the shoulder area, which allows building a surface scan with arbitrary accuracy, as well as the design of the shoulder area of the product with a given number of turns, which ensures the best fit of it on the human figure. New anthropometric points and dimensional features are obtained, which are determined based on three-dimensional scanning with the use of computer modelling. Such features include the height and width of the shoulder from the base point, the height, and coordinate of the inflection point, and the angle of inclination of the frontal projection curve at the inflection point.


Practical significance. The obtained data make it possible to determine the lengths of arbitrary ones on the surface and to construct a surface scan with any accuracy. The actual design of the shoulder area of the garment can be created as a reduced sweep with two or one fold. Such a design, built based on three-dimensional scanning, ensures the best fit of clothes for a consumer with an individual figure.

Article Details

How to Cite
RIABCHYKOV, M., & NAZARCHUK, L. (2023). RESEARCH OF THE HUMAN BODY SURFACE SHOULDER AREA FOR APPAREL DESIGN USING 3D-SCANNING. Tovaroznavchiy Visnik, 1(16), 298-309. https://doi.org/10.36910/6775-2310-5283-2023-17-25
Section
TECHNOLOGIES OF THE GARMENT INDUSTRY
Author Biographies

M. RIABCHYKOV, Lutsk National Technical University

doctor of technical sciences, professor, professor of the department of Light Industry Technologies of the Lutsk National Technical University

L. NAZARCHUK, Lutsk National Technical University

candidate of technical sciences, associate professor, head of the department of technologies of light industry of the Lutsk National Technical University

References

. Scott, E.L. (2022) The role of 3D measurement technology and anthropometric data for improved garment fit and sustainable manufacturing ( Book Chapter). Digital Manufacturing
Technology for Sustainable Anthropometric Apparel. с. 23-48. [Electronic resources]. – Mode of access: https://doi.org/10.1016/B978-0-12-823969-8.00002-2
2. Choi, Kyung-Hee (2022) 3D dynamic fashion design development using digital technology and its potential in online platforms. Fashion and Textiles, Vol.9, Iss.1, Article number: 9 DOI 10.1186/s40691-021-00286-1
3. Vleugels Jochen, Veelaert Lore, Peeters Thomas, Huysmans Toon, Danckaers Femke, Verwulgen Stijn, (2022) Predicting User‘s Measurements without Manual Measuring: A Case on Sports Garment Applications. Applied Sciences (Switzerland) 2022, 12(19), 10158; [Electronic resources]. – Mode of access: https://doi.org/10.3390/app121910158
4. Xia, S., Li, J., Istook, C.L., West, A.J.(2022) A 2D image body measurement system developed with neural networks and a color-coded measurement garment. International Journal of Clothing Science and Technology. 34(6), с. 967-978. DOI 10.1108/IJCST-08-2021-0114
5. Riabchykov M., Vilkov S., Nechipor S., Popova, T. Two-dimensional studies of thermomechanical properties of textile materials for 3D formation. Vlakna a Textil. 25(2), с. 87-92
6. Rahman, O., Navarro, H.D. (2022) Men‘s Physical Stature: Tackling Heightism and Challenges in Fashion Consumption. Behavioral Sciences. 12(8),270, DOI 10.3390/bs12080270
7. Pietroni, N., Dumery, C., Falque, R., (...), Vidal-Calleja, T., Sorkine-Hornung, O. (2022) Computational pattern making from 3D garment models. ACM Transactions on Graphics. 41(4),157. [Electronic resources]. – Mode of access: https://doi.org/10.1145/3528223.3530145
8. Zhang, K. (2022). Application of 3D Technology in Garment Design Template. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 97. Springer, Cham. [Electronic resources]. – Mode of access: https://doi.org/10.1007/978-3-030-89508-2_37
9. Bao, C., Miao, Y., Gu, B., Liu, K. and Liu, Z. (2021), "3D interactive garment parametric pattern-making and linkage editing based on constrained contour lines", International Journal of Clothing Science and Technology, Vol. 33 No. 5, pp. 696-723. [Electronic resources]. – Mode of access: https://doi.org/10.1108/IJCST-09-2020-0137
10. Avadanei, M.L., Olaru, S., Dulgheriu, I., (...), Loghin, E.C., Ionescu, I. (2022) A New Approach to Dynamic Anthropometry for the Ergonomic Design of a Fashionable Personalised Garment. Sustainability (Switzerland). 14(13),7602. [Electronic resources]. – Mode of access: https://doi.org/10.3390/su14137602
11. Zhang, B., Sun, Y., Zhong, Z., (...), Li, Y., Gu, B. (2022) Breast shape classification and discrimination driven by local features-focusing on Chinese women in their 20s. International Journal of Industrial Ergonomics. 90,103304, [Electronic resources]. – Mode of access: https://doi.org/10.1016/j.ergon.2022.103304
12. Gu, Y., Pan, L., Yao, T., (...), Sun, H., Wang, J. (2022) Classification and regression modeling of breast shape of young females in Northeast China | [东北地区青年女性胸部形态分类与回归建模]. Journal of Silk. 59(7), с. 64-70. Doi: 10.3969/j.issn.1001-7003(2022)07-0064-07
13. Chi, C., Zeng, X., Bruniaux, P., Tartare, G. (2022) A study on segmentation and
refinement of key human body parts by integrating manual measurements. Ergonomics. 65(1), с. 60-77. [Electronic resources]. – Mode of access: https://doi.org/10.1080/00140139.2021.1963489
14. Wang, X., Wang, Y.(2021) Development status and application of 3D anthropometric technology | [三维人体测量技术的发展现状及其应用]. Wool Textile Journal. 49(10), с. 106-111. DOI:10.19333/j.mfkj.20210103506
Goal. To improve the system of anthropometric