Work Description

Title: Three-Dimensional Body Shape Manikins of Young Children for Child Restraint Design Open Access Deposited

http://creativecommons.org/publicdomain/zero/1.0/
Attribute Value
Methodology
  • A laboratory study collected surface geometry data of 67 children, ages 12 to 58 months. Novel template fitting methods were employed to obtain homologous meshes and to standardize the posture. Principal component analysis and regression were used to develop a statistical body shape model (SBSM). The SBSM was exercised to create 18 manikins representing children aged 1 to 3 years, with varying size and shape.
Description
  • These manikins represent body shape models for children weighing 9 to 23 kg in a seated posture relevant to child restraint design. The design of child restraints is guided in part by anthropometric data describing the distributions of body dimensions of children. However, three-dimensional body shape data have not been available for children younger than three years of age. These manikins will be useful for assessing child accommodation in restraints. The SBSM can also provide guidance for the development of anthropomorphic test devices and computational models of child occupants. The sampled manikins were predicted for a range of torso length and body weight dimensions. The SBSM model was exercised for two torso lengths and nine body weights to obtain 18 body shapes. The 3D shape models can be downloaded in a standard mesh format (PLY). Each body shape is accompanied by predicted landmark locations and standard anthropometric variables.
Creator
Depositor
  • mhaumann@umich.edu
Contact information
Discipline
Keyword
Date coverage
  • 2014-07-01 to 2015-09-30
Citations to related material
  • http://childshape.org/toddler/manikins/ Jones, M.L.H., Klinich, K.D., Ebert, S.M., Malik, L., Manary, M.A., and Reed, M.P. (2015). A Pilot Study of Toddler Anthropometry and Posture in Child Restraint Systems. Short Communications from AAAM's 59th Annual Scientific Conference, Traffic Injury Prevention, 16:sup2, S240-S243, DOI: 10.1080/15389588.2015.1073071
Resource type
Last modified
  • 04/06/2017
Published
  • 02/16/2017
Language
DOI
License
To Cite this Work:
Jones, M. (2017). Three-Dimensional Body Shape Manikins of Young Children for Child Restraint Design [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/Z2BG2KXM

Relationships

Files (Count: 54; Size: 29.8 MB)

Thumbnail Title Original Upload Last Modified File Size Access Actions
Default 25_480_anthro.tsv 2017-02-16 2017-02-16 201 Bytes Open Access
Default 25_550_land.tsv 2017-02-16 2017-02-16 6.71 KB Open Access
Default 25_480.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 20_443.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 35_541.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 25_550_anthro.tsv 2017-02-16 2017-02-16 204 Bytes Open Access
Default 40_640_land.tsv 2017-02-16 2017-02-16 6.69 KB Open Access
Default 45_668_anthro.tsv 2017-02-16 2017-02-16 205 Bytes Open Access
Default 35_541_anthro.tsv 2017-02-16 2017-02-16 202 Bytes Open Access
Default 60_655_anthro.tsv 2017-02-16 2017-02-16 205 Bytes Open Access
Default 20_443_land.tsv 2017-02-16 2017-02-16 6.7 KB Open Access
Default 35_541_land.tsv 2017-02-16 2017-02-16 6.7 KB Open Access
Default 45_598_anthro.tsv 2017-02-16 2017-02-16 203 Bytes Open Access
Default 40_567.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 20_509_land.tsv 2017-02-16 2017-02-16 6.7 KB Open Access
Default 50_619.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 45_668_land.tsv 2017-02-16 2017-02-16 6.71 KB Open Access
Default 35_615_land.tsv 2017-02-16 2017-02-16 6.7 KB Open Access
Default 20_509.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 20_443_anthro.tsv 2017-02-16 2017-02-16 204 Bytes Open Access
Default 55_641_land.tsv 2017-02-16 2017-02-16 6.7 KB Open Access
Default 30_512.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 25_480_land.tsv 2017-02-16 2017-02-16 6.71 KB Open Access
Default 20_509_anthro.tsv 2017-02-16 2017-02-16 200 Bytes Open Access
Default 35_615.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 55_641_anthro.tsv 2017-02-16 2017-02-16 202 Bytes Open Access
Default 55_641.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 25_550.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 40_567_land.tsv 2017-02-16 2017-02-16 6.7 KB Open Access
Default 45_668.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 50_619_anthro.tsv 2017-02-16 2017-02-16 202 Bytes Open Access
Default 60_730_land.tsv 2017-02-16 2017-02-16 6.68 KB Open Access
Default 55_713_land.tsv 2017-02-16 2017-02-16 6.68 KB Open Access
Default 45_598_land.tsv 2017-02-16 2017-02-16 6.69 KB Open Access
Default 40_640_anthro.tsv 2017-02-16 2017-02-16 206 Bytes Open Access
Default 50_692.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 45_598.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 35_615_anthro.tsv 2017-02-16 2017-02-16 204 Bytes Open Access
Default 30_580_land.tsv 2017-02-16 2017-02-16 6.7 KB Open Access
Default 60_730_anthro.tsv 2017-02-16 2017-02-16 202 Bytes Open Access
Default 55_713_anthro.tsv 2017-02-16 2017-02-16 203 Bytes Open Access
Default 50_692_anthro.tsv 2017-02-16 2017-02-16 204 Bytes Open Access
Default 50_619_land.tsv 2017-02-16 2017-02-16 6.69 KB Open Access
Default 60_655_land.tsv 2017-02-16 2017-02-16 6.69 KB Open Access
Default 40_567_anthro.tsv 2017-02-16 2017-02-16 204 Bytes Open Access
Default 30_580_anthro.tsv 2017-02-16 2017-02-16 201 Bytes Open Access
Default 60_730.ply 2017-02-16 2017-02-16 1.64 MB Open Access
Default 50_692_land.tsv 2017-02-16 2017-02-16 6.7 KB Open Access
Default 40_640.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 55_713.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 60_655.ply 2017-02-16 2017-02-16 1.65 MB Open Access
Default 30_512_anthro.tsv 2017-02-16 2017-02-16 204 Bytes Open Access
Default 30_512_land.tsv 2017-02-16 2017-02-16 6.68 KB Open Access
Default 30_580.ply 2017-02-16 2017-02-16 1.65 MB Open Access

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.



Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Analytics

View Work Analytics