Empowering women wearing plus-size clothing through co-design

The retail landscape includes a vast array of clothing choices, yet style options remain extremely limited for Canadian women in the plus-size category (sizes 14W‐40W). Our study empowered women who wear size 20+ by bringing them into the conversation about plus-size apparel design and development. Few studies have identified clothing solutions utilized by plus-size women or how clothing impacts their feelings about themselves, and there is no research on the clothing needs of women in the upper plus-size range. We recruited participants through Facebook posts to plus-size communities and clothing swap groups located in a major Canadian city. Our research design had a human-centred focus and included co-design methods. Activities included body mapping, body scanning and co-design activities with sixteen women in a full-day workshop to unpack their ideas about plus-size clothing in a body-positive space to foster confidence, strength and autonomy. Body maps allowed our participants to embrace creativity as a tool to communicate meaning in an empowering way. Body scanning provided a quick way to electronically capture body shape and size through circumferential measurements. Co-design activities included drawing and writing. Proposed clothing designs were drawn on body templates derived from participant’s personal body scans. Participants elaborated on their clothing ideas by completing a needs and features chart to share perceived problems and propose solutions. Emergent themes included participants’ ideas about meaning and empowerment, proposed clothing designs, detailed information regarding clothing fit and selection challenges, as well as their feelings about the co-design process. Consultation with people, using co-design methods is a way to reveal fashion gaps and an opportunity to improve customer satisfaction and increase sales and thus is important to designers and retailers specializing in the plus-size market.

SmartFit: Smartphone Application for Garment Fit Detection

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.

3D virtual fitting system on woman's garment

Fit is one of the major concerns for the clothing industry, and pattern development process is significant during clothing manufacturing and the way clothing is constructed. Various pattern making methods have been introduced to the industry considering clothing fit satisfaction, but it is still impossible to provide the optimized clothing pattern for mass production. The aim of this paper is practical implications about 3D virtual fit simulation technology as a fit assessment tool in the fashion industry i.e. to predict the behavior of women's pants in relation to fitting and comfort in different poses of avatar. This was done by application CAD Clo 3D fashion design software.

A validation study on the thermal simulation of the human body-clothing-environment system through wear trials

The following analysis deals with the validation study for the already published thermal simulation of the human body-clothing-environment system through wear trials. Three test persons and a clothing system were selected for this study. The simulation process chain includes 3D scanning, clothing fit considering the deformation properties of fabrics, 3D analysis of air gaps between skin and clothing, and thermophysiological analysis of the human body taking into account different metabolic rates. Moreover, subjective wear trials were performed in a climatic chamber to validate the simulation results. The results show good validation for the core body and mean skin temperature, however, discrepancies were observed on comparing the local skin temperatures. The presented simulation approach offers a holistic solution for product development in the areas of sportswear, workwear, outdoor, and protective clothing.

Design and Performance Evaluation of Protective Clothing for Emergency Rescue

Protective clothing is very important to guarantee the safety of emergency rescuers. And proper construction design of clothing will improve the rescue efficacy. This study developed a new set of emergency rescue protective clothing (NC) and evaluated its performance. Clothing fit test, freedom of movement, and rationality of pocket tests were conducted. The results showed that the amount of slippage at the hem, waist of pants, and leg opening of NC has been greatly reduced. The NC had provided better cloth fit and dynamic comfort. The storage capacity of the pockets had been increased, the position and angle design of the pocket made it easier to take and keep the rescue tools.

Body shape classification of Korean middle-aged women using 3D anthropometry

Most Korean apparel companies lack suitable dress forms for the different body types of middle-aged Korean women, resulting in poor clothing fit for them. As a part of an ongoing project to develop a dress form that fully reflects Korean middle-aged women’s bodies, this study classified the body shapes and examined the anthropometric characteristics of women in their 40s and 50s. The 3D anthropometric data of 302 middle-aged women of normal weight (18.5 ≤ BMI < 25) were obtained from the 6th Size Korea. Sixty-three measurements related to the construction of dress form were chosen. Based on the scores from five factors, the body shapes of Korean middle-aged women were classified into four types: Type 1 had a broader shoulder and a slightly developed upper body but a more developed lower body; Type 2 had a longer, relatively thin and flat, vertical body; Type 3 had a shorter body and smaller torso than the other types, and the lower body was more developed than the upper; Type 4 had a bulky upper body and the highest BMI, but the lower body was rather small. The nine key measurements in classifying the body shapes of Korean middle-aged women were found by discriminant analysis. The characteristics of representative body shapes obtained in this study can be useful for developing dress forms for clothing that better fits Korean middle-aged women.