Evaluation of the Accuracy and Practicability of Predicting Compression Garment Pressure Using Virtual Fit Technology

Brubacher, Kristina; Tyler, David; Apeagyei, Phoebe R.; Venkatraman, Prabhuraj D.; Brownridge, Andrew

doi:10.1177/0887302x21999314

Cited by 16 publications

(13 citation statements)

References 38 publications

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“…A 3D Tension Map and the Tension XY tool were used to measure the highest tension of the fabric of the trousers in both the warp (X) and weft (Y) direction, and together (XY), which are also presented individually for the back part. Fit evaluation, based on the visual assessment of colour maps, can be subjective, because of small, nuanced differences in colour, and because colour maps represent the maximum value in red and the minimum value in blue for each garment, regardless of absolute values [ 52 , 53 , 54 ]. Some researchers [ 54 , 55 , 56 , 57 ] have included the numerical values provided by colour maps in their analyses, since the tension maps of two different fabrics may look similar while their maximum tension values may differ.…”

Section: Methodsmentioning

confidence: 99%

“…Fit evaluation, based on the visual assessment of colour maps, can be subjective, because of small, nuanced differences in colour, and because colour maps represent the maximum value in red and the minimum value in blue for each garment, regardless of absolute values [ 52 , 53 , 54 ]. Some researchers [ 54 , 55 , 56 , 57 ] have included the numerical values provided by colour maps in their analyses, since the tension maps of two different fabrics may look similar while their maximum tension values may differ. The amount of virtual tension influencing the fabric is given by the OptiTex PDS V11 system in units of gf/cm (i.e., forces acting in a unit of length), which has here been converted into SI units N/cm.…”

Section: Methodsmentioning

confidence: 99%

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Study Regarding the Kinematic 3D Human-Body Model Intended for Simulation of Personalized Clothes for a Sitting Posture

2021

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This study deals with the development of a kinematic 3D human-body model with an improved armature in the pelvic region, intended for a sitting posture (SIT), using Blender software. It is based on the scanned female body in a standing posture (STA) and SIT. Real and virtual measures of females’ lower-body circumferences for both postures were examined. Virtual prototyping of trousers was performed to investigate their fit and comfort on the scanned and kinematic 3D body models and to make comparison with real trousers. With the switch from STA to SIT, real and virtual lower-body circumferences increase and are reflected in the fit and comfort of virtual and real trousers. In SIT, the increased circumferences are attributed to the redistribution of body muscles and adipose tissue around the joints, as well as changes in joints’ shapes in body flexion regions, which are not uniformly represented on the kinematic sitting 3D body model, despite improved armature in the pelvic region. The study shows that average increases in waist, hip, thigh, and knee circumferences should be included in the process of basic clothing-pattern designs for SIT as minimal ease allowances, as should, in the future, armature designs that consider muscle and adipose tissues, to achieve realistic volumes for kinematic 3D body models in SIT.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Study Regarding the Kinematic 3D Human-Body Model Intended for Simulation of Personalized Clothes for a Sitting Posture

2021

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“…Furthermore, CLO software, while beneficial for visualizing aesthetics, presents challenges in accurately portraying the fit of a textile garment on a real body. 3D avatars are solid virtual objects that do not allow for an accurate representation of garment fit factors such as compression of flesh and body (Brubacher et al, 2021). CLO's tension tool was useful in identifying potential fit problems while virtually assessing the fit of a tight garment.…”

Section: Adaptive Sportswear Design Processmentioning

confidence: 99%

A Case Study of Developing a Paralympic Shooting Jacket for Disabled Athletes

Hobbs-Murphy

Morris

Park

2022

Clothing and Textiles Research Journal

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Disabled athletes participate in sports at elite levels; however, industry product and academic research regarding adaptive sportswear is lacking. Limited availability of sportswear can be a barrier to participation in athletics for disabled people, particularly athletes with mobility differences. This study therefore aimed to enhance the sportswear design process in a single-case study of a Paralympic shooting athlete who participated in the 2020 Paralympic games. Qualitative and anthropometric data were collected via a high-communication, five-step design process. The researchers explored 3D apparel design technologies in tandem with physical prototyping methods to understand benefits and challenges of said tools in adaptive sportswear development. Key findings of this work include understanding of disabled athletes’ needs, design considerations for adaptive sportswear development, and found benefits and challenges of technology use. The knowledge acquired in this case study offers valuable contributions for researchers and manufacturers that can advance sportswear design for all disabled athletes.

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“…Also, evaluating the 3D human body shape and position beneath clothing is critical for a variety of applications, including virtual try-on, non-contact body measuring and virtual reality avatar development (Hu et al , 2020). Designers are applying these technologies to design the clothes such as sportswear or female clothing that requires more precision and accuracy levels (Brubacher et al , 2021; Jolly et al , 2019).…”

Section: Review Of Literaturementioning

confidence: 99%

Augmented and virtual reality in apparel industry: a bibliometric review and future research agenda

Goel

Mahadevan

Punjani

2022

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Purpose The purpose of the present study is to synthesize the extant literature on augmented reality and virtual reality in the apparel industry using bibliometric and network visualization techniques. This paper also highlights the existing gaps in the literature and sets out the future research trajectory. Design/methodology/approach This study investigated research articles in the domain of augmented and virtual reality in the apparel industry to assess global trends in research production in this area, and top contributors to research by way of authors, journals, countries and institutions. The study carried out an analysis of 239 research articles from the Scopus database during the period 1995 to 2021. The study used open-source bibliometric tools such as Biblioshiny and VOSviewer to analyze the research literature over the search period and also identify emerging research avenues. Findings The bibliometric analysis reveals that there is significant interest in this research domain. A total of 673 authors contributed to the 239 research articles analyzed and the number of multi-author documents exceeded those by single authors. Research in this domain is led by China with the maximum number of articles in the data set followed by the USA and France. However, the USA has received the highest number of citations. Donghua University from China is the largest contributor to research in this domain with 13 articles in the data set. The keyword co-occurrence analysis indicates that “virtual reality” has the most number of co-occurrences and linkages with other keywords. Other important keywords include “augmented reality,” “virtual try-on” and “cloth simulation.” The network visualization exercise also revealed significant collaboration between different countries in this research domain. Practical implications The gaps highlighted in this study will act as a reference point for researchers to conduct future studies in the field of augmented and virtual reality in apparel industry. Practitioners will also gain a comprehensive understanding of this research domain. Originality/value This study, to the best of the authors’ knowledge, is the first attempt to integrate the disjoint literature of augmented and virtual reality in apparel industry through a mapping of the intellectual structure of this research domain. The study also contributes by way of providing a snapshot of future research avenues in the knowledge domain of augmented and virtual reality in the apparel industry.

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Evaluation of the Accuracy and Practicability of Predicting Compression Garment Pressure Using Virtual Fit Technology

Cited by 16 publications

References 38 publications

Study Regarding the Kinematic 3D Human-Body Model Intended for Simulation of Personalized Clothes for a Sitting Posture

Study Regarding the Kinematic 3D Human-Body Model Intended for Simulation of Personalized Clothes for a Sitting Posture

A Case Study of Developing a Paralympic Shooting Jacket for Disabled Athletes

Augmented and virtual reality in apparel industry: a bibliometric review and future research agenda

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