Dataset of the IEEE IC 3DBP Comparative Analysis of Anthropometric Methods

Citation Author(s):
Alfredo
Ballester
Instituto de Biomecánica de Valencia, Universitat Politècnica de València, Valencia, Spain
Warren
Wright
Size Stream LLC, Cary, NC, USA
Jorge
Valero
Instituto de Biomecánica de Valencia, Universitat Politècnica de València, Valencia, Spain
Emma
Scott
Fashion Should Empower, Vancouver Island, BC, Canada
Tim
Devlin
Unity, Berlin, Germany
Alice
Bullas
Centre for Sports Engineering Research, Sheffield Hallam University, UK
Javier
Silva
Instituto de Biomecánica de Valencia, Universitat Politècnica de València, Valencia, Spain
Carol
McDonald
Gneiss Concept, Washougal, WA, USA
Submitted by:
Alfredo Ballester
Last updated:
Thu, 06/16/2022 - 15:33
DOI:
10.21227/2akb-0v63
Data Format:
*.obj;*.csv
Research Article Link:
IEEE SA 3D Body Processing Industry Connections - Comparative Analysis of Anthropometric Methods: Past, Present, and Future
Links:
Comparative Analysis of Anthropometric Methods: Past, Present, and Future
License:
Creative Commons Attribution-NonCommercial-ShareAlike
1539 Views
Categories:
Reliability
Standards Research Data
Image Processing
Computer Vision
Keywords:
3DBP, 3D Body Processing, anthropometry, 3D scaning, analysis, human body shapes, data collection, Industry Connections, methodology
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Abstract 

This open dataset is subject to CC BY-NC-SA 4.0 License. The dataset is intended for scientific research purposes and it cannot be used for commercial purposes. The authors encourage users to use it for public research and as a testbench for private research. Please note that any promotional/marketing material built upon this dataset should be backed by publicly available description of the work leading to the promotional/marketing claims.

This dataset was gathered by the IEEE IC 3DBP working group.

The experimental study was conducted in two phases. Phase 1 was carried out in December 2018 in Portland, Oregon (USA), and Phase 2 in October 2019 in Valencia (Spain). Participants were selected to represent a wide range of body heights and weights. Each subject had 11 body measurements collected twice by different measuring stations (3D scanning booths, smartphone apps, and traditional anthropometry experts). Phase 1 included two 3D scanners—Vitus bodyscan (Human Solutions GmbH) and SS20 (Size Stream LLC)—and four experts. Phase 2 included two 3D scanners: MOVE4D (Instituto de Biomecánica) and Portal MX (Texel LLC); four smartphone apps: 3D avatar body (Instituto de Biomecánica), SS(at)Home (Size Stream LLC), 3DLOOK (3DLOOK Inc.), and eM+ (PolyU); and two experts. A total of 133 subjects participated in the study. Participants were selected to represent a wide range of body heights and weights. Each subject had 11 body measurements collected twice by each measurer and measuring technology.

This unique dataset contains more than 14000 measurement points and more than 1100 anonymous 3D body scans gathered by five experts, four full body scanners, and four phone apps. This dataset can be used for future analyses and studies, including segmentation by age, gender, or body mass index (BMI).

Full description of the experimental study and some sample analyses conducted to this dataset can be found at: https://ieeexplore.ieee.org/document/9773072

The preparation of this dataset to be shared in this repository has been supported by:

IBERUS project: (CER-20211003), CERVERA Network financed by the Ministry of Science and Innovation through the Centre for Industrial Technological Development (CDTI), charged to the General State Budgets 2021 and the Recovery, Transformation and Resilience Plan.

Research Activity funding (IMAMCA/2022/7)  by Instituto Valenciano de Competitividad Empresarial (IVACE) and Valencian Regional Government (GVA).

The authors gratefully acknowledges the computer resources at Artemisa, funded by the European Union ERDF and Comunitat Valenciana as well as the technical support provided by the Instituto de Física Corpuscular, IFIC (CSIC-UV).

Instructions: 

This dataset contains different types of data:

  • Subject's basic information (single .csv file)
  • Body measurements (single .csv file)
  • Anonymous 3D avatars (one .obj file per avatar)

Please read Readme.pdf file for full details of the content.

Funding Agency: 
IBERUS project (CER-20211003) and Research Activity supported by IVACE and GVA (IMAMCA/2022/7)

Dataset Files

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Documentation

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File Readme.pdf128.21 KB

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