The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform

Mao-jiun J. Wang - One of the best experts on this subject based on the ideXlab platform.

  • Automated anthropometric data collection using 3D whole body scanners
    Expert Systems With Applications, 2007
    Co-Authors: Mao-jiun J. Wang
    Abstract:

    The development of three-dimensional (3D) whole body scanner opens opportunities for measuring human body more efficiently. While taking measurements from 3D scanning data, markers are usually placed on human body to facilitate landmarking and data collection. But the procedure of placing markers is very tedious and may involve human errors. The objective of this study is to develop an automated anthropometric data collection system to eliminate manual intervention. For 3D image analysis, the first step is to segment the body parts by analyzing the 2D silhouette. Then we use the approximate location estimates as the references for performing initial searches of the landmarks. Subsequently, four algorithms including silhouette analysis, minimum circumference determination, gray-scale detection, and human-body contour plots are developed to extract 12 landmarks and three characteristic lines on human body. Finally, from the results of automated landmarking, 104 anthropometric data can be obtained. To evaluate the validity and reliability of the automated anthropometric data collection system, 189 human subjects were scanned and the scanning data were processed by the system. The results demonstrated that the system was very effective and robust. Based on the newly developed system, many applications can be extended.

M Wang - One of the best experts on this subject based on the ideXlab platform.

  • Automated anthropometric data collection using 3D whole body scanners
    Expert Systems with Applications, 2008
    Co-Authors: M Wang
    Abstract:

    [[abstract]]The development of three-dimensional (3D) whole body scanner opens opportunities for measuring human body more efficiently. While taking measurements from 3D scanning data, markers are usually placed on human body to facilitate landmarking and data collection. But the procedure of placing markers is very tedious and may involve human errors. The objective of this study is to develop an automated anthropometric data collection system to eliminate manual intervention. For 3D image analysis, the first step is to segment the body parts by analyzing the 2D silhouette. Then we use the approximate location estimates as the references for performing initial searches of the landmarks. Subsequently, four algorithms including silhouette analysis, minimum circumference determination, gray-scale detection, and human-body contour plots are developed to extract 12 landmarks and three characteristic lines on human body. Finally, from the results of automated landmarking, 104 anthropometric data can be obtained. To evaluate the validity and reliability of the automated anthropometric data collection system, 189 human subjects were scanned and the scanning data were processed by the system. The results demonstrated that the system was very effective and robust. Based on the newly developed system, many applications can be extended.[[fileno]]2020405010072[[department]]工工

Philip Treleaven - One of the best experts on this subject based on the ideXlab platform.

  • Whole-body three-dimensional photonic scanning: a new technique for obesity research and clinical practice
    International Journal of Obesity, 2008
    Co-Authors: J C K Wells, Anthony Ruto, Philip Treleaven
    Abstract:

    Information on body shape has long been used in categorizing and monitoring obesity. Alongside abdominal circumferences, recent studies further emphasize the value of indices such as sagittal diameter adjusted for thigh girth in categorizing cardiovascular risk. Whole-body three-dimensional photonic scanning has rapidly emerged as a new technology for digital anthropometric measurement. Photonic scanners capture sophisticated raw data on body surface topography in a few seconds, from which extensive body shape information can be extracted using computer algorithms. Photonic scanning now has the potential to play a key role in (1) categorizing obesity (including childhood screening), (2) ranking abdominal size and shape in large-scale epidemiological studies, (3) monitoring individual patients to evaluate treatment efficacy and (4) estimating surface area for drug dosage calculations. New statistical modeling techniques offer the opportunity to develop novel parameters of body shape for linking with biological health outcomes. The low cost, accuracy, ease of use and high acceptability of the technique make it highly suitable for both research and clinical applications.

  • 3D Body Scanning and Healthcare Applications
    Computer, 2007
    Co-Authors: Philip Treleaven, Jonathan C. K. Wells
    Abstract:

    Developed largely for the clothing industry, 3D body-surface scanners are transforming our ability to accurately measure and visualize a person's body size, shape, and skin-surface area. Advancements in 3D whole-body scanning seem to offer even greater potential for healthcare applications.

  • 3D Body Scanning and Healthcare Applications Developed largely for the clothing industry, 3D body-surface
    2007
    Co-Authors: Philip Treleaven
    Abstract:

    scanners are transforming our ability to accurately measure and visualize a person’s body size, shape, and skin-surface area. Advancements in 3D whole-body scanning seem to offer even greater potential for healthcare applications.

Simeon Gill - One of the best experts on this subject based on the ideXlab platform.

  • Recent advances in garment manufacturing technology: joining techniques, 3D body scanning and garment design
    The Global Textile and Clothing Industry, 2020
    Co-Authors: David Tyler, A. Mitchell, Simeon Gill
    Abstract:

    Abstract: Developments in clothing production technologies have been rapid and significant in two areas. The first concerns sew-free technologies, primarily adhesive bonding of seams. The technology innovations have affected many markets, but primarily lingerie and sportswear. This chapter considers the drivers for adoption of these technologies and the machinery used to achieve welded seams. The other area concerns three-dimensional (3D) body scanning and the potential for integrating scan data with 3D CAD and work on the fit of garments. The chapter provides an overview of recent literature and a critical discussion of the issues emerging from these technologies.

  • 3D Body Scanning in the Apparel Industry: Do We Really Know Where We Are Heading?
    Proceedings of 3DBODY.TECH 2019 - 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies Lugano Switzerland 22-2, 2019
    Co-Authors: Monika Januszkiewicz, Christopher J. Parker, Steven Hayes, Simeon Gill
    Abstract:

    This paper through - the Diffusion of Innovation Model - shows that while 3D Body Scanning brings some refining and improvements of existing methods, it does not introduce new concepts that depart from traditional retail practices. 3D Body Scanning is - potentially - a powerful way of approaching size and fit in apparel and one that presents novel opportunities. Yet, despite the advantages that this technology offers, and the many initiatives that have taken place, 3D Body Scanning has not reached its full potential and has failed to produce the expected results held by many stakeholders. Stakeholders must increase collaboration to realise 3D Body Scanning’s relative advantage. Much of the potential has, however, been promoted by distinct organisations that are biases about how the diverse processes and structures will work together, whilst focussing on profit from their own incremental IP. In this paper we elicit 3D Body Scanning’s fundamental concepts, and its central goal to provide ‘glue’ needed to create an innovation. We offer further implications for researchers and policymakers about expecting and managing trends in technology.

  • Whole body scanning as a tool for clothing sizing: Effects on women’s body satisfaction
    The Journal of The Textile Institute, 2019
    Co-Authors: Sarah Grogan, Simeon Gill, Kathryn Brownbridge, Emma Storey, Clair Templeton, Jayne Gill, Sofia Persson, Christopher J. Armitage
    Abstract:

    Whole-body scanning is increasingly used in the clothing industry, including in large-scale sizing surveys and virtual fitting. However, the impacts of 3D scanning on women’s body satisfaction are ...

  • The uneasy alliance: stakeholders perspective on the diffusion of 3D body scanning in the apparel industry
    2019
    Co-Authors: Monika Januszkiewicz, Stephen G. Hayes, Christopher J. Parker, Simeon Gill
    Abstract:

    3D Body Scanning is a potentially powerful way of approaching size and fit in apparel and one that presents novel opportunities. Yet, despite the advantages that this technology offers, and the many initiatives that have taken place, 3D Body Scanning has not reached its full potential in apparel and has failed to produce the expected results held by many stakeholders. Much of the potential has been promoted by distinct organisations that are inherently bias about how the diverse processes and structures will work together, whilst focussing mainly on profit from their own incremental IP. Yet, efforts may severe backlash when it becomes clear that many of those predictions are above core competencies. For 3D Body Scanning to be fully embraced it needs stakeholders’ recognition of their fundamental concepts and its central goal to provide “glue” needed to create something theoretically new to empower industry to act. This paper offers industry synthesis through The Diffusion of Innovation theory, based on based on 30 semi-structured interviews with 39 stakeholders from 3D Body Scanning industry.

  • 3D Body Scanning has Suitable Reliability: An Anthropometric Investigation for Garment Construction
    Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies Montreal QC Canada 11-12, 2017
    Co-Authors: Christopher J. Parker, Simeon Gill, Stephen G. Hayes
    Abstract:

    3D Body Scanning provides access to a greater breadth and depth of anthropometric data for industry applications and scientific research than at any other point in history. However, while the potential of this technology for revolutionising industrial and scientific practices has been established, little exists addressing its appropriateness in terms of reliability within recognised allowable error. To address this issue, this study investigates the degree to which 3D Body Scanning can produce reliable anthropometric measurements for use in garment construction and scientific research. 27 participants were repeatedly scanned using a SizeStream Body Scanner five consecutive times to find out the variation in reliability between instances of data capture. The variance to three Standard Deviations was then compared to established allowable error guidelines to assess suitability of the measurements attained. The main outcome of this study is that 3D Body Scanning can achieve suitable reliability to be used in garment construction, tailoring, and scientific research; providing 99.73% confidence in the suitability of extracted dimensions in 49% of the most commonly used body measurements. However, other measurements achieved less exceptional reliability, and therefore use of traditional measurement methods need to be considered carefully when generating tailored garments or comparing anthropometric data sets from 3D Body Scanners. As a consequence of this study, 3D Body Scanning shows suitable reliability for most garment construction and anthropometric research tasks.

Hans Binder - One of the best experts on this subject based on the ideXlab platform.

  • Longitudinal anthropometry of children and adolescents using 3D-body scanning.
    PloS one, 2018
    Co-Authors: Henry Loeffler-wirth, Mandy Vogel, Toralf Kirsten, Fabian Glock, Tanja Poulain, Antje Körner, Markus Loeffler, Wieland Kiess, Hans Binder
    Abstract:

    3D-body scanning anthropometry is a suitable method for characterization of physiological development of children and adolescents, and for understanding onset and progression of disorders like overweight and obesity. Here we present a novel body typing approach to describe and to interpret longitudinal 3D-body scanning data of more than 800 children and adolescents measured in up to four follow-ups in intervals of 1 year, referring to an age range between 6 and 18 years. We analyzed transitions between body types assigned to lower-, normal- and overweight participants upon development of children and adolescents. We found a virtually parallel development of the body types with only a few transitions between them. Body types of children and adolescents tend to conserve their weight category. 3D body scanning anthropometry in combination with body typing constitutes a novel option to investigate onset and progression of obesity in children.

  • Body typing of children and adolescents using 3D-body scanning.
    PloS one, 2017
    Co-Authors: Henry Loeffler-wirth, Mandy Vogel, Toralf Kirsten, Fabian Glock, Tanja Poulain, Antje Körner, Markus Loeffler, Wieland Kiess, Hans Binder
    Abstract:

    Three-dimensional (3D-) body scanning of children and adolescents allows the detailed study of physiological development in terms of anthropometrical alterations which potentially provide early onset markers for obesity. Here, we present a systematic analysis of body scanning data of 2,700 urban children and adolescents in the age range between 5 and 18 years with the special aim to stratify the participants into distinct body shape types and to describe their change upon development. In a first step, we extracted a set of eight representative meta-measures from the data. Each of them collects a related group of anthropometrical features and changes specifically upon aging. In a second step we defined seven body types by clustering the meta-measures of all participants. These body types describe the body shapes in terms of three weight (lower, normal and overweight) and three age (young, medium and older) categories. For younger children (age of 5–10 years) we found a common ‘early childhood body shape’ which splits into three weight-dependent types for older children, with one or two years delay for boys. Our study shows that the concept of body types provides a reliable option for the anthropometric characterization of developing and aging populations.