With the development of society and increasing demands, the design of male underwear should conform to human ergonomics. However, some special delicate aspects related to morphological features of the male body need to use computer technologies for generating a digital replica of real bodies, with textile materials instead of real objects from the perspective of satisfying increasing needs. This article aims to apply three-dimensional (3D) simulation technology in compression clothes design. We have proposed the method of material precision simulation, body avatar establishment, and virtual underwear design. In this study, multiple 3D software to establish avatars of male bodies with different morphological features are used first. Secondly, the conversion of the Kawabata Evaluation System for Fabrics results in a digital library of knitted materials to be explored, which are mainly based on elastic characteristics and compression performances. Then, we conducted a series of try-on tests with average size avatars, which are created using 3D scanning technology, and evaluated the pressure and comfort using a new method we recommended. Finally, the results of the virtual and actual tests are compared. All digital replicas achieve the same results as the real ones. This study can promote the application of 3D simulation technology in male compression underwear design by operating a digital replica instead of real objects.
WuXKuzmichevVE. Study on the body girth dynamic size for wetsuit ease design. IOP Conf Ser Mater Sci Eng2018; 459: 012085.
2.
PonsMGPujadesS, et al.Clothcap: seamless 4d clothing capture and retargeting. ACM Trans Graph2017; 36: 73.
3.
LinYLWangMJ. The development of a clothing fit evaluation system under virtual environment. Multimedia Tool Appl2016; 75: 7575–7587.
4.
HuZHLiX, et al.Examining collaborative filtering algorithms for clothing recommendation in e-commerce. Text Res J2018; 89: 2821–2835.
5.
HongYBruniauxP, et al.Design and evaluation of personalized garment block design method for atypical morphology using the knowledge-supported virtual simulation method. Text Res J2018; 88: 1721–1734.
6.
Lee YA. Anthropometry, apparel sizing and design 11-computer design and digital fit of clothing. UK: Woodhead Publishing, 2014, pp.305–3198.
7.
Sook ChoYTsuchiyaK, et al.Computerized pattern making focus on fitting to 3D human body shapes. Int J Clothing Sci Technol2010; 22: 16–24.
8.
AbtewMABruniauxP, et al.Development of comfortable and well-fitted bra pattern for customized female soft body armor through 3D design process of adaptive bust on virtual mannequin. Comput Ind2018; 100: 7–20.
9.
LuSMokPY, et al.A new design concept: 3D to 2D textile pattern design for garments. Comput Aid Des2017; 89: 35–49.
10.
ChenXTaoX, et al.Control and optimization of human perception on virtual garment products by learning from experimental data. Knowl Base Syst2015; 87: 92–101.
11.
MertEPsikutaA, et al.A validation methodology and application of 3D garment simulation software to determine the distribution of air layers in garments during walking. Measurement2018; 117: 153–164.
12.
ColaianniMSieglC, et al.Anisotropic deformation for local shape control. Computat Vis Media2017; 4: 305–313.
13.
PopescuGOlaruS, et al.Innovative design and simulation of clothing products for children with atypical changes in conformation and posture. DE Redactie2017, 1: 63–68.
14.
DuanLYueqiZ, et al.Automatic three-dimensional-scanned garment fitting based on virtual tailoring and geometric sewing. J Eng Fiber Fabric2019; 14: 1558925018825319.
15.
HuPHoESL, et al.A new method to evaluate the dynamic air gap thickness and garment sliding of virtual clothes during walking. Text Res J2018; 89: 4148–4161.
16.
ChengZKuzmichevVE. Classification of male lower torso for underwear design. IOP Conf Ser Mater Sci Eng2017; 254: 172007.
17.
Wu YY, Mok PY, et al. An investigation on the validity of 3D clothing simulation for garment fit evaluation In: proceedings of the IMProVe 2011 international conference on innovative methods in product design, (ed. Gianmaria Concheri), Venice, Italy, pp. 15–17 June 2011, pp. 463-468. Venice: UniversitÁ degli Studi di Padova.
18.
ChengZKuzmichevVE. Research on the male lower torso for improving underwear design. Text Res J2018; 89: 1623–1641.
19.
TaoXChenX, et al.A customized garment collaborative design process by using virtual reality and sensory evaluation on garment fit. Comput Ind Eng2018; 115: 683–695.
20.
LiuKZengX, et al.Fit evaluation of virtual garment try-on by learning from digital pressure data. Knowl Base Syst2017; 133: 174–182.
21.
ThomasseySBruniauxP. A template of ease allowance for garments based on a 3D reverse methodology. Int J Ind Ergon2013; 43: 406–416.
22.
JiangYGuoR, et al.Cloth simulation for Chinese traditional costumes. Multimedia Tool Appl2019; 78: 1–26.
23.
ChengZKuzmichevVE, et al.Development of knitted materials selection for compression underwear. AUTEX Res J2017; 17: 177–187.
24.
ChengZKuzmichevVE. Digital twin and men's underwear design. IOP Conf Ser Mater Sci Eng2018; 459: 012075.
25.
LinSHJohnsonRR, et al.Fitting simulation evaluation on personalized avatars. J Text Eng Fashion Technol2018; 4: 123–128.
26.
KimDE. Psychophysical testing of garment size variation using three-dimensional virtual try-on technology. Text Res J2016; 86: 365–379.
27.
KuzmichevVETislenkoIV, et al.Virtual design of knitted compression garments based on bodyscanning technology and the three-dimensional to two-dimensional approach. Text Res J2018; 89: 2456–2475.
28.
PopescuGOlaruS, et al.Innovative technologies for the design and simulation of children's clothing products using anthropometric data obtained by 3D standardized scanning. Industria Textila2017; 68: 95.
29.
Yu A and Yick KL. Engineering of high-performance textiles-12 compression and stretch fit garments. UK: Woodhead Publishing, 2018, pp.279–303.
30.
Wang YR. Manikins for textile evaluation-11 manikins for evaluation of pressure performance. UK: Woodhead Publishing, 2018, pp.241–258.
31.
LiuKZengXBruniauxP, et al.3D interactive garment pattern-making technology. Comput Aid Des2018; 104: 113–124.
AshdownSPLokerS, et al.Using 3D scans for fit analysis. J Text Apparel Technol Manag2004; 4: 1–12.
34.
Yu W. Subjective assessment of clothing fit. Clothing appearance and fit: science and technology. UK: Woodhead Publishing, 2004, pp.31–42.
35.
KimDELaBatK. An exploratory study of users' evaluations of the accuracy and fidelity of a three-dimensional garment simulation. Text Res J2013; 83: 171–184.
36.
Geršak J. Wearing comfort using body motion analysis. Anthropometry, apparel sizing and design. UK: Woodhead Publishing, 2014, pp.320–333.
37.
Briceno L and Paul G. MakeHuman: a review of the modelling framework. In: proceedings of the 20th congress of the International Ergonomics Association (IEA 2018) (ed. Gianmaria Concheri), Venice, Italy, 15-17 June 2011, pp. 224–232. Venice: Università degli Studi di Padova.
38.
TaoFChengJQiQ, et al.Digital replica-driven product design, manufacturing and service with big data. Int J Adv Manuf Technol2018; 94: 3563–3576.
39.
BoschertSRosenR. Digital twin-the simulation aspect. Mechatron Future2016; 7: 59–74.
40.
SchleichBAnwerN, et al.Shaping the digital replica for design and production engineering. CIRP Ann2017; 66: 141–144.
41.
Hunter L and Fan J. Fabric properties related to clothing appearance. Clothing appearance and fit: science and technology. UK: Woodhead Publishing, 2004, pp.89–111.
42.
Ferguson-PellMHagisawaS, et al.Evaluation of a sensor for low interface pressure applications. Med Eng Phys2000; 22: 657–663.
43.
LiLAuI, et al.A novel design method for an intelligent clothing based on garment design and knitting technology. Text Res J2009; 79: 1670–1679.
44.
Sun W, Zuo F, et al. Application of least square curve fitting algorithm based on LabVIEW in pressure detection system. In: 2015 international conference on applied science and engineering innovation, (ed. Xu M, Wang GL), Jinan, China, 30-31 August 2015, pp. pp. 39–43. Amsterdam: Advances in Engineering Research, Atlantis Press.
45.
HakalaTPuolakkaA, et al.Application of air bladders for medical compression hosieries. Text Res J2018; 88: 2169–2181.
46.
MakabeHMomotaH, et al.Effect of covered area at the waist on clothing pressure. Sen'i Gakkaishi1993; 49: 513–521.
47.
VargheseNThilagavathiG. Handle, fit and pressure comfort of silk/hybrid yarn woven stretch fabrics. Fiber Polym2016; 17: 484–494.
48.
TanakaDYoshidaM, et al.Effect of the peripheral pressure at groin region immediately after the wear of girdle on the rate of blood flow in the skin at the bottom of feet and surface humidity on the skin. J Jpn Res Assoc Text End Use1999; 40: 46–53.
49.
ErfanJ. Study on the fit of young male pants. J Xi'an Univ Technol2013; 1: 51–62.
50.
JinZ. Effect of seamless underwear on static pressure comfort of men under lower body. J Text Res2009; 30: 99–103.
51.
LiuRLiuJ, et al.Determination of leg cross-sectional curvatures and application in pressure prediction for lower body compression garments. Text Res J2019; 89: 1835–1852.
52.
RombaldoniFMontarsoloAMazzuchettiG. KES-F characterization and hand evaluation of oxygen plasma-treated wool fabrics dyed at temperature below the boil. Text Res J2010; 80: 1412–1421.
53.
ZhongY. Redressing three-dimensional garments based on pose duplication. Text Res J2010; 80: 904–916.
54.
LeiG. Based on male physiological characteristics of the underwear structure comfort study. Shanghai Univ Eng Sci2012; 12: 69–77.
55.
Yu W. Clothing appearance and fit: science and technology-subjective assessment of clothing fit. UK: Woodhead Publishing, 2004, pp.31–42.
