Garment Fit: Where Do We Stand?

2019 ◽  
Author(s):  
Eva LAPKOVSKA ◽  
Inga DABOLINA ◽  
Liene SILINA
Keyword(s):  
Garment Fit

scholarly journals SmartFit: Smartphone Application for Garment Fit Detection

Electronics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 97
Author(s):  
Kamrul H. Foysal ◽  
Hyo Jung Chang ◽  
Francine Bruess ◽  
Jo Woon Chong
Keyword(s):  
Body Shape ◽  
Online Shopping ◽  
Smartphone Application ◽  
Shape Detection ◽  
Time Saving ◽  
Apparel Shopping ◽  
Promising Solution ◽  
Clothing Fit ◽  
Body Shapes ◽  
Garment Fit

The apparel e-commerce industry is growing day by day. In recent times, consumers are particularly interested in an easy and time-saving way of online apparel shopping. In addition, the COVID-19 pandemic has generated more need for an effective and convenient online shopping solution for consumers. However, online shopping, particularly online apparel shopping, has several challenges for consumers. These issues include sizing, fit, return, and cost concerns. Especially, the fit issue is one of the cardinal factors causing hesitance and drawback in online apparel purchases. The conventional method of clothing fit detection based on body shapes relies upon manual body measurements. Since no convenient and easy-to-use method has been proposed for body shape detection, we propose an interactive smartphone application, “SmartFit”, that will provide the optimal fitting clothing recommendation to the consumer by detecting their body shape. This optimal recommendation is provided by using image processing and machine learning that are solely dependent on smartphone images. Our preliminary assessment of the developed model shows an accuracy of 87.50% for body shape detection, producing a promising solution to the fit detection problem persisting in the digital apparel market.

Garment Fit and Consumer Perception of Sportswear

2015 ◽  
pp. 245-260 ◽  
Author(s):  
Simeon Gill ◽  
Jennifer Prendergast
Keyword(s):  
Consumer Perception ◽  
Garment Fit

A study of consumers’ pre-purchase evaluation of apparel products in Ethiopia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Berihun Bizuneh ◽  
Shalemu Sharew Hailemariam ◽  
Selam Tsegaye
Keyword(s):  
Factor Analysis ◽  
Developing Country ◽  
Social Factors ◽  
Design Methodology ◽  
Online Survey ◽  
Educational Background ◽  
Demographic Variables ◽  
Content Type ◽  
Significant Difference ◽  
Garment Fit

PurposeThe purpose of this paper is to explore pre-purchase apparel evaluation cues and examine the effect of demographic variables empirically in the context of a developing country. The initiation for the study was driven by the absence of such prior research and supplemented by the big market opportunity for clothing products in the country under investigation.Design/methodology/approachA self-administered online survey was used for data collection. Demographic questions, 23 apparel measurement items composed of 17 product-based and 6 sustainability-based items, and an open-ended question were included in the questionnaire. Factor analysis was used for dimension reduction and one-way multivariate analysis of variance (MANOVA) for hypotheses testing.FindingsGarment fit, design features, colour, fabric type and seasonality are the five important characteristics most Ethiopian consumers consider while buying apparel products. Factor analysis resulted in five important factors used for pre-purchase apparel evaluation amongst which the design and extrinsic cue is found to be the most important. Environmental factors in the apparel industry got higher emphasis than social factors. While age and educational background made differences in apparel evaluation, gender did not show a significant difference.Originality/valueThe paper provides a founding insight in exploring apparel evaluation cues by considering product- and sustainability-based cues in a developing country context. It also examines the effect of three demographic variables which are rarely studied in such combination.

Analysis of body proportions of Croatian basketball players and the untrained population and their influence on garment fit

2019 ◽  
Vol 89 (23-24) ◽  
pp. 5238-5251
Author(s):  
Blaženka Brlobašić Šajatović ◽  
Slavenka Petrak ◽  
Maja Mahnić Naglić
Keyword(s):  
General Population ◽  
Body Part ◽  
Upper Body ◽  
Anthropometric Measurement ◽  
Body Measurements ◽  
Body Proportions ◽  
Basketball Players ◽  
Sizing System ◽  
Garment Fit ◽  
Average Body

The aim of this study was to determine differences in body proportions and measurements of basketball players and an untrained group of the general population, as well as the impact of physical differences on garment fit through the Croatian sizing system for labeling men's clothing based on the European standard EN 13402. It was hypothesized that clothes made according to the system for labeling men's clothing are not appropriate for the population of basketball players. Differences in morphological properties of the basketball players, as a result of many years of active sport playing, were found both by conventional anthropometric measurement method and three-dimensional (3D) body scanning. Anthropometric measurements were taken for the needs of the clothing industry according to ISO 3635, ISO 8559 and ISO 20685. The study was conducted on a sample of 189 male test subjects, aged between 15 and 25 years, who are professional basketball players and sample of a 189 test subjects for the untrained group of the general population of the same age. Statistical data results included factor and discriminate analysis. Differences in the body measurements of basketball players and the untrained group of the general population were analyzed through an independent samples t-test. Considering that differences in the upper body part have a large impact on garment fit, compared to the average body measurements, that is, the existing clothing sizing system, a proposal for the amendment of the sizing system for basketball players, with average body measurements by size, was made. In addition, for the purposes of the study, 20 anthropometric variables related to the upper body part and required for the clothing construction were analyzed. In order to test the garment fit, two men's shirt prototypes of the same garment size, one based on the existing sizing systems and one based on the proposed amendment for basketball players, were developed using a two-dimensional/3D computer-aided design system. Computer simulations performed on the average basketball player body model showed the unsuitable fit of a men's shirt constructed according to the existing sizing system and the satisfying fit of a men's shirt constructed according to measurements of the proposed amendment for basketball players, confirming the possible application of the conducted research results and the proposed sizing amendment.

The Influence of Textile Materials Mechanical Properties upon Virtual Garment Fit

1970 ◽  
Vol 17 (2) ◽  
pp. 160-167 ◽  
Author(s):  
Kristina ANCUTIENĖ ◽  
Dovilė SINKEVIČIŪTĖ
Keyword(s):  
Mass Customization ◽  
Strain Distribution ◽  
High Strain ◽  
Small Strain ◽  
Clothing Industry ◽  
Body Measurements ◽  
Textile Materials ◽  
3D Cad ◽  
Mechanical Tensile ◽  
Garment Fit

3D virtual representation of garment provides high potential for design, product development and marketing processes, especially in mass customization strategies implementation. Clothing industry rapidly turns to virtual simulation which not only presents realistic 3D view of garment but also simulates mechanical behaviour of materials. 3D CAD systems can be used to define strain distribution in virtual garment which describes garment fit without actually producing the garment. Strain and distance ease between body and garment depends not only upon body measurements and garment construction, but also on mechanical and structural properties of selected material. The aim of this research was to investigate virtual garment fit using "Modaris 3D Fit" (Lectra) software subjected to fabrics mechanical (tensile, bending, shear) and structural (composition, thickness, area density) properties investigating strain distribution in garment and distance ease between garment and human body. It was defined that for diagonal cut garments the highest influence upon garment fit has fabric tensile properties in weft direction. The highest influence is obtained at high distance ease and small strain values zones and at negative distance ease and high strain values zones. Therefore, presented method could be used for tight-fitted garments also for garments with draperies on purpose to investigate garment fit upon fabrics used.http://dx.doi.org/10.5755/j01.ms.17.2.486

scholarly journals Contribution of garment fit and style to thermal comfort at the lower body

2016 ◽  
Vol 60 (12) ◽  
pp. 1995-2004 ◽  
Author(s):  
Emel Mert ◽  
Sonja Böhnisch ◽  
Agnes Psikuta ◽  
Marie-Ange Bueno ◽  
René M. Rossi
Keyword(s):  
Thermal Comfort ◽  
Lower Body ◽  
Garment Fit

Research on the Correlation between Body Measurement Data and Pattern Plate Data

2011 ◽  
Vol 175-176 ◽  
pp. 792-796
Author(s):  
Xiu E Bai ◽  
Fei Wang
Keyword(s):  
Human Body ◽  
Production Efficiency ◽  
Information Access ◽  
Measurement Data ◽  
Conversion Function ◽  
Body Measurement ◽  
Knowledge Database ◽  
Constraint Relation ◽  
Garment Fit ◽  
And Storage

The knowledge database of ready-to-wear included the clothing knowledge required in the process from design to manufacture. It is to carry on management and storage of the original trivial clothing knowledge, achieve rapid information access, delivery and response. People hope garment fit their body better, but now garment is produced in bulk. The challenges the company faces is to achieve intelligent pattern making and pattern individuation based on the knowledge database of ready-to-wear.to improve the production efficiency. In this paper, the relation among the different data in the knowledge database of ready-to-wear are studied. The key is how to achieve transforming the human body data, style and craft data to the pattern plate data, and ascertain the constraint relation between body measurement data and pattern plate data. Man’s shirt is taken as an example in this paper. The conversion function and the fitting curve of the back armhole are obtained through analysis of the pattern plate data in order to provide the foundation for achieving the transformation from data information to pattern sketch.

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