100 3D Body Scans

Published: 21 Jun 2017 | Version 1 | DOI: 10.17632/xgrcptfpwt.1
Contributor(s):

Description of this data

This file contains 100 3D Body Scans from a White-British and Chinese population, aged 20-30 for you to use and explore in your research.

3D Body Scanning is a technology that allows the capture and analysis of the human body using non-contact methods, current uses have allowed large datasets to be captured and comparisons made with population groups. As part of ongoing projects at the University of Manchester the Apparel Design Engineering (ADE) team have selected 100 scans and processed them using a Size Stream body scanner, we are making the measurements of these 100 scans accessible to anyone wishing to explore body measurements and sizing systems.

The selected scans are a sample of 20-30-year-old females with half identified as White British and half as Chinese. We hope the data can be used by anyone wishing to explore body scanning and human measurements and will help provide insights into the types of data and analysis possible using outputs from body scanning technology.

Experiment data files

Steps to reproduce

See procedure in the following document:

Gill, Simeon, Steven Hayes, and Christopher J. Parker. 2016. “3D Body Scanning: Towards a Shared Protocol.” In IWAMA 2016: 6th International Workshop of Advanced Manufacturing and Automation, edited by Yi Wang, Kesheng Wang, Jan Ola Strandhagen, and Tao Yu, 281–84. Manchester, UK: IWAMA.

Related links

Latest version

  • Version 1

    2017-06-21

    Published: 2017-06-21

    DOI: 10.17632/xgrcptfpwt.1

    Cite this dataset

    Gill, Simeon; Parker, Christopher; Hayes, Steven (2017), “100 3D Body Scans”, Mendeley Data, v1 http://dx.doi.org/10.17632/xgrcptfpwt.1

Institutions

University of Manchester

Categories

Ergonomics, Anthropometry, Body Image

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Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?

You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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