The Impact of Student Outfit Choice on Class Participation

The psychology of clothing has been much researched, yet remains a very complex subject. Studies have shown that clothing can influence people\u27s perceptions of others, even regarding expectations related to intelligence and academic achievement. This pilot study was performed to uncover the ways in which a student might be impacted by the clothing they chose to wear to class every day. The results of this study were consistent with the hypothesis that students\u27 classroom participation would be impacted by their outfit choice. Students were more engaged in class when wearing more professional clothing than when attired in casual or leisure wear

An Investigation of Sizing and Fit of Commercial Sewing Patterns

The development and marketing of patterns for the home sewer in the United States is a highly concentrated market. A few large firms dominate the pattern-making industry today, which began more than 150 years ago. Prior to the availability of mass-produced ready-to-wear (RTW) apparel, commercial sewing patterns were first created as a way to assist people in sewing their own clothing at home

3D Knitting Technology: A Decision-Making Model

The textile industry is unique in its slow rate to adopt new technologies. The adoption of 3D knitting technologies (also known as seamless, complete-garment, WholeGarment, or Knit\u27n\u27Wear) has been no exception. The objectives of this research were to identify the factors that act as either drivers or barriers to the adoption of 3D knitting technology. A decision-making model was developed based on literature review and pertinent factors related to flat-bed seamless knitting. This model will be used as a guide to direct research into the adoption decision process of 3D knitting technology by small, medium and large firms and may help provide insight into the adoption of future technologies, as well. This research will be important for researchers, manufacturers, brands and machine manufacturers to understand the factors that contribute towards decisions to adopt new technology and to help gauge the future state of the industry

Mass Customization: Perceptions of Related Technologies and Resulting Product

The purpose of this study was to evaluate the customization process and the impact of fit preference on a successful custom garment development. A simple princess line shift dress was developed for each of the 21 participants. Participants were body scanned and measurements for the bust, waist, hip, back-waist length, waist to knee length and waist to hip length were extracted. All of the participants had a custom fit garment created for their measurements. Three surveys were conducted to investigate participants\u27 perceptions of their body shapes, fit preferences and custom garments. The results showed that participants were comfortable being body scanned and were generally satisfied with their body image and with the measurements, and 57% of the participants preferred a regular fit garment, and the majority of the participants found the fit of the custom dress to be acceptable except for the length of the garment

The State of Denim project

The purpose of this paper is to share strategies on how to engage diverse populations of students through a common theme, such as this on-trend and ubiquitous fabric, so that they learn, engage, collaborate and move their design and research agendas forward, while at the same time boosting their hiring value as discerning and analytical industry professionals

Comparison of Body Measuring Techniques: Whole Body Scanner, Handheld Scanner, and Tape Measure

Whole body scanners and manual measuring techniques are used in the apparel industry to collect body measurement data. Researchers have been seeking alternatives due to the high cost of the whole body scanner and labor intensiveness of the manual measuring method. Handheld scanners have been studied recently as replacements of other methods, but most of the results were unsatisfactory. The Structure Sensor is a handheld scanner developed by Occipital and has been branded as the first 3D sensor for mobile devices such as iPhone and iPad. This research focused on comparing the performance of the Structure Sensor to other techniques to see whether it could be used as a substitute for them or not. Measurements were collected and compared. It was found that the Structure Sensor could be used to collect body measurements data with low accuracy if corresponding measurement extraction software was developed

Evaluation of Knit Technologies for Bridal Wear

The intent of this research was to provide a sufficient framework for business decisions in knitwear companies when purchasing knitting technology. As knitting machines are a large capital investment, it is important for business owners to understand the benefits and disadvantages to upgrading technology

A Service Learning Collaborative to Build a Sustainable Enterprise for Underprivileged Women (SEuW)

The goal of this ongoing service-learning project is to step outside the traditional classroom to engage fashion and textile students in a real world production experience, thus learning about the design and manufacturing process and culture through their activities. The skills and knowledge that the students are developing can go way beyond the traditional monetary manufacturing/retail outcome objectives, touching and influencing people\u27s lives with a global sustainable perspective. A mutually beneficial strategic collaborative effort was organized between an international non-governmental organization (NGO), graduate and undergraduate students at a US University, a large multinational company with extensive ties to Indian manufacturing and the US retail market, and a grassroots women\u27s manufacturing group in Jaipur, India. A number of goals were developed to help support a group of poor and disadvantaged women to become self-sufficient and provide for their families\u27 basic needs, through this textiles-apparel service-learning project

Algorithms behind a body measurement app built on smartphones from supplied color-coded garments for online apparel purchasing platforms

Online clothing retailers experience high return rates due to fit and size issues. Most consumers don\u27t know their sizes when shopping online and have significant difficulty attempting to take their own measurements. The proposed body measurement system measures body dimensions from two-dimensional images captured by a user. Measurements of the individual are taken from captured images while wearing one or more coded dimensioning garments designed by the team, with markings at specific locations that can be aligned with characteristic body features. Artificial neural network models are used to track these markings and extract key body dimensions. Exported body data can be plugged into applications such as size selection, clothing customization, fitness monitoring, and training/coaching. Such a solution can be adopted by smart device users easily and has the potential to reduce the return rate for online apparel purchasing platforms and e-retailers

A Sizing System for Big & Tall: Comparison between Proportional Sizing System and Linear Regression Model Approach

This study aimed to identify applicable sizing systems for big and tall men by examining current menswear sizing systems. A cluster analysis, a linear regression, and t-test with fit comparison plots were employed to test two dominant approaches of sizing systems: 1) a size chart based on proportions of a sampling distribution of means in normal distribution, which is the most common approach of sizing in the apparel industry; and 2) a size chart developed with a liner regression model. Body dimensions from a total of 301 big and tall men height over 71.5 inches and weight over 215 pounds were tested with the two size charts. Similar characteristics of big and tall were identified with the cluster analysis. While the sizing system with proportion displayed more deviations, the sizing system with a liner regression model predicted more of actual big and tall men’s body dimensions