Show simple item record

Statistical analysis to develop a three-dimensional surface model of a midsize-male foot

dc.contributor.authorReed, Matthew P.en_US
dc.contributor.authorEbert, Sheila M.en_US
dc.contributor.authorCorner, Brian D.en_US
dc.date.accessioned2016-01-08T20:53:58Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2016-01-08T20:53:58Z
dc.date.issued2013-10
dc.identifier103232en_US
dc.identifier.otherUMTRI-2013-19en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/116596
dc.description.abstractA representative midsize-male foot was generated via a statistical analysis of foot scans from 107 men with widely varying body size. Seventy-two surface landmarks were manually extracted from the original scan data. A template fitting method was used to represent each scan with a homologous mesh. A principal component analysis and least-squares linear regression were used to generate a foot surface model with landmarks using a reference stature of 1755 mm and a body mass of 83.19 kg. The statistical model can be used to generate a wide range of male foot sizes and shapes.en_US
dc.description.sponsorshipUS Army Tank Automotive Research, Development, and Engineering Center (TARDEC)en_US
dc.format.extent26en_US
dc.languageEnglishen_US
dc.publisherUniversity of Michigan, Ann Arbor, Transportation Research Instituteen_US
dc.subject.otherStatistical analysisen_US
dc.subject.otherAnthropometryen_US
dc.subject.otherFooten_US
dc.subject.otherPostureen_US
dc.subject.otherAnatomical modelsen_US
dc.titleStatistical analysis to develop a three-dimensional surface model of a midsize-male footen_US
dc.typeTechnical Reporten_US
dc.subject.hlbsecondlevelTransportation
dc.subject.hlbtoplevelEngineering
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/116596/1/103232.pdf
dc.description.filedescriptionDescription of 103232.pdf : Final report
dc.owningcollnameTransportation Research Institute (UMTRI)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.