Evaluation of an anthropometric shape model of the human scalp

Lacko, Daniël; Huysmans, Toon; Parizel, Paul M.; Bruyne, Guido De; Verwulgen, Stijn; Hulle, Marc M. Van; Sijbers, Jan

doi:10.1016/j.apergo.2014.11.008

Cited by 54 publications

(49 citation statements)

References 29 publications

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“…For example, Fig. 4 shows the actual human head shape variation as derived from a 3D MRI scan database of a Western population (Lacko et al, 2015). It appears that head shape does not scale linearly with size: smaller heads are rounder, larger heads are more elongated.…”

Section: D Anthropometry and Ergonomicsmentioning

confidence: 98%

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Ergonomic design of an EEG headset using 3D anthropometry

et al. 2017

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Section: D Anthropometry and Ergonomicsmentioning

confidence: 98%

“…The design was based on a statistical shape model of the human scalp containing 100 North-American individuals, described in a previous paper (Lacko et al, 2015). In order to determine the shape variation, principal component analysis (PCA) was performed on this dataset.…”

Section: Prototype Designmentioning

confidence: 99%

Ergonomic design of an EEG headset using 3D anthropometry

et al. 2017

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“…The key property of enriched SSMs is that one can reverse the extraction of 1D data from a 3D shape: a best matching 3D form can be calculated by matrix algebra from a given set of 1D data (43).…”

Section: Enriched Statistical Shape Models: From 1d To 3d Anthropometrymentioning

confidence: 99%

“…The feature map of the enriched SSM constructed in (43) was implemented in a user-friendly online tool was that is locally hosted by the authors. Head shapes (.stl files) are generated by either numerical or percentile values for nine 1D measurements including HL, BW, HC and AL, shown in Figure 6.…”

Section: A Case On Individual Fitmentioning

confidence: 99%

A new data structure and workflow for using 3D anthropometry in the design of wearable products

Verwulgen

Lacko

Vleugels

et al. 2018

International Journal of Industrial Ergonomics

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Abstract.The human body is a complex biomechanical system that exhibits many variations. Wearable products should be both functional and comfortable. They require a close and accurate fit to the body of the end-user. Current approaches to design body near products rely on 1D anthropometry and unrealistic manikins, e.g. constructed from simple surfaces such as spheres and cylinders connected by splines. With the uprising of 3D scanning, a myriad of accurate 3D body models becomes available. In this paper we present a framework to use this 3D shape information in the development of wearable products. The key concept that we introduce to achieve this extension, is an enriched shape model: a statistical shape model of the human body that also contains all 1D anthropometric data in it. With enriched shape models, a 3D shape can be parameterized with a given set of anthropometric features. Thus the dense geometric information of an individual's shape can be obtained simply by tuning that individual's anthropometric values. By designing on the generated 3D surface, a product can be obtained that closely fits the individual's shape. We thus extend the method of linking 1D anthropometric data with the dimensions of a product. This results in three design strategies that link both body shape with product geometry: design for collective fit, design for fit within clusters and design for individual fit. Each strategy is explained and studied with the design of wearable EEG headsets that fits the human head. KeywordsMass-customization, EEG headsets, CAD, parameterized design, 3D anthropometry, statistical shape models Relevance to Design PracticeWe present a workflow to use accurate 3D shape models of the human body in the design of products that should closely fit the end-user. To that end, we introduce enriched shape models: a new data structure that contains all dense geometric shape information together with classical anthropometric data. We illustrate how enriched shape models can be used to achieve products with personalized fit, as an extension to the use of univariate anthropometric data. The use of enriched shape models for personalized design could become an important driver for mass customization. To that end, tools and techniques should be developed to incorporate the presented workflow in CAD/CAM.

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“…They can also store information in digital format and provide an archive to be used for further studies, or recall other data without the need of people participation. 6,7 3D laser scanners are widely used in various fields, such as ergonomics, industrial design, textile industry, reverse engineering, medicine structural engineering, forestry, urban development, etc. [8][9][10][11][12][13][14] Compared to other anthropometric methods, the use of scanners can be regarded as optimized, owing to three factors: time, cost, and accuracy.…”

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confidence: 99%