Developing accurate industrial standards to facilitate production in apparel manufacturing based on anthropometric data

Hsu, Chih-Hung

doi:10.1002/hfm.20148

Cited by 26 publications

(19 citation statements)

References 11 publications

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“…The example-guided, anthropometry driven and constrained reconstruction produce more accurate body models. The proposed approach could integrate well with industrial standards in garment grading for specific groups of people [12]. Moreover, the proposed method is flexible and extensible to combine with Kinect to provide a body digitalization application.…”

Section: Resultsmentioning

confidence: 99%

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Example-guided anthropometric human body modeling

2014

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This paper presents an example-guided, anthropometry-based modeling method for creating 3D human body models from users' input of partial anthropometric measurements with a given example dataset. Rather than directly forming a mapping between the partial measurements and the body model, we first estimate a set of chosen 30 measurements from the input based on the example-oriented measurement analysis. We then create an initial 3D model using the example-oriented radial basis function model that maps the set of 30 measurements to the body shape space and is established based on the given examples. We finally refine the 3D model by constrained optimization to create the target body model. Our method has several advantages: (1) the created model is guaranteed to match the input measurements and reflects the shape characteristics of examples; (2) the input requirement is modest, which makes it useful in practice; and (3) the information of both the measurements and examples is fully utilized. We demonstrate the effectiveness, accuracy, flexibility and extensibility of the method by various experimental evaluations and a Kinect-based body customization application.

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Section: Resultsmentioning

confidence: 99%

“…Hence it is tempting and useful to model and customize human body based on anthropometric measurements, especially to populate virtual humans. In fact, anthropometry-based methods have been developed in computer graphics [10,12].…”

Section: Introductionmentioning

confidence: 99%

Example-guided anthropometric human body modeling

2014

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“…Traditional methods are not useful because they use bivariate distributions to define a sizing chart and do not consider the variability of other relevant anthropometric dimensions. Recently, more sophisticated statistical methods have been de-veloped, especially using principal component analysis (PCA) and clustering (Gupta and Gangadhar 2004;Hsu 2009b;Luximon, Zhang, Luximon, and Xiao 2012;Hsu 2009a;Chung et al 2007;Zheng, Yu, and Fan 2007;Bagherzadeh, Latifi, and Faramarzi 2010). Peter Tryfos was the first to suggest an optimization method (Tryfos 1986).…”

Section: The Trimowa Methodologymentioning

confidence: 99%

Anthropometry: An R Package for Analysis of Anthropometric Data

Vinué¹

2017

J. Stat. Soft.

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The development of powerful new 3D scanning techniques has enabled the generation of large up-to-date anthropometric databases which provide highly valued data to improve the ergonomic design of products adapted to the user population. As a consequence, Ergonomics and Anthropometry are two increasingly quantitative fields, so advanced statistical methodologies and modern software tools are required to get the maximum benefit from anthropometric data. This paper presents a new R package, called Anthropometry, which is available on the Comprehensive R Archive Network. It brings together some statistical methodologies concerning clustering, statistical shape analysis, statistical archetypal analysis and the statistical concept of data depth, which have been especially developed to deal with anthropometric data. They are proposed with the aim of providing effective solutions to some common anthropometric problems, such as clothing design or workstation design (focusing on the particular case of aircraft cockpits). The utility of the package is shown by analyzing the anthropometric data obtained from a survey of the Spanish female population performed in 2006 and from the 1967 United States Air Force survey.This manuscript is also contained in Anthropometry as a vignette.

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“…To this end we shall make use of the concept of 'aggregate loss' [17] which is widely used in the fields of Human Factors and Ergonomics as well as in Economics. Simply put: if we have to design a one-size T-shirt meant to fit an entire population, knowing the anthropomorphic data of a population and knowing that each individual will claim a refund proportional to the amount of discomfort (a positive function of size mismatch), what is the optimal size that will minimize the total refund (aggregate loss)?…”

Section: One-size-fits-allmentioning

confidence: 99%

Ergonomic considerations for anthropomorphic wrist exoskeletons: A simulation study on the effects of joint misalignment

Esmaeili

Gamage

Tan

et al. 2011

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

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This work focuses on anthropomorphic exoskeletons for the human wrist. We consider a 2 dof model for the human wrist with non intersecting joints and a similar model for the exoskeleton. We assume a viscoelastic attachment between the human hand and the handle of the exoskeleton which on one side allows the different kinematics of the exoskeleton to follow the human wrist and, on the other side, induces reaction forces at all joints, in particular causing discomfort. We quantify discomfort as the amount of potential energy stored in the deformation of the viscoelastic attachment.For a specific exoskeleton implementation, based on kinematic simulations, we report the kinematic mismatch (i.e. differences between the human joints and the corresponding exoskeleton joints) as well as the reaction forces arising when the human joints assume postures throughout their physiological range of motion. Considering a typical distribution of joint offset for humans (derived from literature) and the asymmetry in the discomfort function (derived from our simulations) we address the 'one-size-fits-all' problem and propose an optimal joint offset for the exoskeleton, based on the minimization of the aggregate loss function.

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Developing accurate industrial standards to facilitate production in apparel manufacturing based on anthropometric data

Cited by 26 publications

References 11 publications

Example-guided anthropometric human body modeling

Example-guided anthropometric human body modeling

Anthropometry: An R Package for Analysis of Anthropometric Data

Ergonomic considerations for anthropomorphic wrist exoskeletons: A simulation study on the effects of joint misalignment

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