Application of 3D body scanning technology to human measurement for clothing Fit

2010 ◽  
Vol 4 (7) ◽  
pp. 58-68 ◽  
Author(s):  
Phoebe R. Apeagyei
Keyword(s):  
Body Scanning ◽  
Clothing Fit

Empowering women wearing plus-size clothing through co-design

2021 ◽  
Vol 7 (1) ◽  
pp. 101-114
Author(s):  
Sandra Tullio-Pow ◽  
Kirsten Schaefer ◽  
Ben Barry ◽  
Chad Story ◽  
Samantha Abel
Keyword(s):  
Design Methods ◽  
Apparel Design ◽  
Size Category ◽  
Body Mapping ◽  
Body Scanning ◽  
Canadian City ◽  
Design Activities ◽  
Clothing Fit ◽  
Full Day ◽  
Clothing Choices

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.

Older Women’s Clothing Fit and Style Concerns and Their Attitudes Toward the Use of 3D Body Scanning

2011 ◽  
Vol 30 (2) ◽  
pp. 102-118 ◽  
Author(s):  
Young-A Lee ◽  
Mary Lynn Damhorst ◽  
Min-Sun Lee ◽  
Joy M. Kozar ◽  
Peter Martin
Keyword(s):  
Body Scanning ◽  
Women's Clothing ◽  
Clothing 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.

The site of waist measurement impacts the estimation of visceral fat: Results from three-dimensional photonic body scanning

2021 ◽  
pp. 1-32
Author(s):  
Katja D Repp ◽  
Dörte Radke ◽  
Till Ittermann ◽  
Martin Albers ◽  
Marcello R P Markus ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Waist Circumference ◽  
Visceral Fat ◽  
Iliac Crest ◽  
Three Dimensional ◽  
Resonance Imaging ◽  
3 Dimensional ◽  
Body Scanning ◽  
Standardized Protocol ◽  
Magnetic Resonance Imaging Mri

Abstract Currently various protocols regarding the site of waist circumference (WC) measurement are in place. This study aimed to analyze the effect of the site of WC measurement on visceral fat (VAT) estimation. WC was obtained at seven anatomical sites in 211 German volunteers (103 males) aged 23-81 using 3-dimensional photonic body scanning (PBS). At one site WC was additionally measured by tape. The quantity of VAT was assessed by magnetic resonance imaging (MRI). Models to estimate VAT based on WC were developed; the precision of the estimation is represented by R2. The influence of the applied method of WC assessment (tape vs. PBS) on the estimations is reported. Results show that the amount of estimated VAT and the precision of VAT estimation were dependent on the site of measurement. VAT was estimated most precisely by WC taken at the level of the lowest rib (WCrib: R²=0.75 females; 0.79 males), the minimum circumference (WCmin: R²=0.75 females; 0.77 males) and at the narrowest part of the torso (WCnar: R²=0.76 females; 0.77 males), and least precisely by WC assessed at the top of iliac crest (WCiliac: R²=0.61 females; 0.60 males). VAT estimates based on WC obtained by PBS were smaller and estimations were slightly less precise compared to estimates based on tape measures. Our results indicate that the method and the site of waist measurement should be considered when estimating VAT based on WC. The implementation of a standardized protocol using either WCrib, WCmin or WCnar could improve the precision of VAT estimation.

scholarly journals Meditation Experience Predicts Introspective Accuracy

2017 ◽  
Author(s):  
Kieran Fox ◽  
Matt Dixon ◽  
Melissa Ellamil ◽  
Evan Thompson ◽  
Kalina Christoff
Keyword(s):  
Body Representation ◽  
Discrimination Threshold ◽  
Large Individual ◽  
Tactile Sensitivity ◽  
Body Scanning ◽  
Body Regions ◽  
Mean Size ◽  
Meditation Experience ◽  
Subjective Reports

The accuracy of subjective reports, especially those involving introspection of one’s own internal processes, remains unclear, and research has demonstrated large individual differences in introspective accuracy. It has been hypothesized that introspective accuracy may be heightened in persons who engage in meditation practices, due to the highly introspective nature of such practices. We undertook a preliminary exploration of this hypothesis, examining introspective accuracy in a cross-section of meditation practitioners (1–15,000 hrs experience). Introspective accuracy was assessed by comparing subjective reports of tactile sensitivity for each of 20 body regions during a ‘body-scanning’ meditation with averaged, objective measures of tactile sensitivity (mean size of body representation area in primary somatosensory cortex; two-point discrimination threshold) as reported in prior research. Expert meditators showed significantly better introspective accuracy than novices; overall meditation experience also significantly predicted individual introspective accuracy. These resultssuggest that long-term meditators provide more accurate introspective reports than novices.

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