HumanShape™

EXPLORE THE SCIENCE OF HUMAN BODY SHAPE
DEVELOPED BY UNIVERSITY OF MICHIGAN TRANSPORTATION RESEARCH INSTITUTE

Visit HumanShape.app

Check out our new web service for population-level product design
using 3D anthropometric data.

Seated HumanShape model with surface geometry, a wireframe mesh, and anatomical landmarks.

RESEARCH YOU CAN EXPLORE

"HumanShape™ framework aims for intuitive yet accurate 3D manikin generation from a minimal set of parameters. All HumanShape™ models are based on statistical analyses of high-resolution laser scans and anthropometric measurement data of men, women, and children with a wide range of age, stature, and body weight."

Intuitive 3D Body Shape Modeling

Change the body shape by intuitively adjusting a few predictors such as stature, BMI, and the ratio of erect sitting height to stature. Slide the controls or type in values to adjust the parameters.

Anatomical Landmarks

Show anatomical landmarks in supported demos to explore how body proportions and reference points change with the chosen shape.

Interactive Research Demos

Explore the science behind human shape variation in your browser. These legacy demos do not offer model, landmark, or measurement downloads.

RESEARCH AND PROJECT UPDATES

EXPLORE OUR UPDATES AND RESEARCH

HumanShape™
INTERACTIVE RESEARCH DEMOS

Discover how body measurements influence 3D human shape. Select a model below to explore our legacy research in your browser.

Interactive demos only. Model geometry, landmarks, and measurement files are not available for download from these demos.

Head Shape Model

Female and male adult head shapes. Generates scalp and face shape without hair artifact

Ear Shape Model

Generates detailed 3D ear shapes including geometry of the canal to the ear drum

Seated Toddler Model

Generates seated toddler body shapes using torso length and weight

Seated Adult Model

Generates seated male/female adults ages 20 to 90 years old

Standing Male Model

Explore standing adult male body shape

Standing Female Model

Explore standing adult female body shape

Standing Child Model

Generates standing body shape of child ages 3 to 11 years old

Seated Child Model

Generates seated body shapes of children ages 3 to 11 years old
Explore the research behind the models →

 FEATURED APPLICATIONS

"World-first portable 3D anthropometry system measuring standard body dimensions from clothed individuals"

"3-D anthropometric database for human body shape research, design, and ergonomic analysis"

"Efficient, parametric, and posable finite element human model representing a diverse population"

"Web-based wheelchair and user modeling tool for fit assessment and occupied-space visualization"

"Mobile AR application for parametric human body modeling and real-world visualization"

 FEATURED PUBLICATIONS

  1. Park, B-K D., Jones, M.LH., Ebert, S.M., and Reed, M.P. (2021) A parametric modeling of adult body shape in a supported seated posture including effects of age. Ergonomics, 1-9.
  2. Park, B. K. D., Corner, B. D., Hudson, J. A., Whitestone, J., Mullenger, C. R., & Reed, M. P. (2021) A three-dimensional parametric adult head model with representation of scalp shape variability under hair. Applied Ergonomics, 90, 103239.
  3. Park, B. K. D., Reed, M. P., Kaciroti, N., Love, M., Miller, A. L., Appugliese, D. P., & Lumeng, J. C. (2018). ShapeCoder: A new method for visual quantification of body mass index in young children. Pediatric obesity, 13(2), 88-93.
  4. Park, B. K., & Reed, M. P. (2015). Parametric body shape model of standing children aged 3–11 years. Ergonomics, 58(10), 1714-1725.
  5. Park, B. K. D., Ebert, S., & Reed, M. P. (2017). A parametric model of child body shape in seated postures. Traffic injury prevention, 18(5), 533-536.
  6. Park, B-K, Lumeng, J.C., Lumeng, C.N., Ebert, S.M., and Reed, M.P. (2014). Child body shape measurement using depth cameras and a statistical body shape model. Ergonomics, 58(2):301-309.
  7. Reed, M.P., Raschke, U., Tirumali, R., and Parkinson, M.B. (2014). Developing and implementing parametric human body shape models in ergonomics software. Proc. 3rd International Digital Human Modeling Conference. Tokyo, Japan.

CONTACT US

umtri-bodyshape@umich.edu
Byoung-keon Daniel Park, PhD. (keonpark@umich.edu)
Associate Research Scientist, Biosciences Group, UMTRI
Matthew P. Reed, PhD. (mreed@umich.edu)
Research Professor, Biosciences Group, UMTRI
Research professor, Industrial and Operations Engineering, U. of Michigan