2026-09-19T14:22:50Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/749862022-01-13T07:54:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Hugh M. Herr.
Marecki, Andrew T. (Andrew Thomas)
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2012-11-19T19:32:29Z
2012-11-19T19:32:29Z
2012
2012
http://hdl.handle.net/1721.1/74986
815770780
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 58).
Skin strain studies have never been conducted in a precise and automated fashion. Previous in vivo strain investigations have been labor intensive and the data resolution was extremely limited such that their results were largely qualitative. There is a need for a better system to collect, compute, and output strain measurements of the skin in vivo for the purpose of designing better mechanical interfaces with the body. Interfaces that have the same strain behavior as human skin can minimize shear forces and discomfort for the user. One particular application is improving the design of prosthetic liners for amputees, creating a second skin sleeve that provides support without hindering movement. A custom approach offering high resolution marker density, automatic point tracking and correspondences, and computational transparency is presented in this thesis. The entire computational toolbox is presented, which takes in high resolution digital photographs, tracks points on the surface of the body, corresponds points between body poses, computes a series of strain measures, and graphically displays these data. The results of studies of a full bodied human knee and a transtibial amputee's residual limb are presented here as well.
by Andrew T. Marecki.
S.M.
87 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Skin strain analysis software for the study of human skin deformation
Thesis
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<Abstract>Skin strain studies have never been conducted in a precise and automated fashion. Previous in vivo strain investigations have been labor intensive and the data resolution was extremely limited such that their results were largely qualitative. There is a need for a better system to collect, compute, and output strain measurements of the skin in vivo for the purpose of designing better mechanical interfaces with the body. Interfaces that have the same strain behavior as human skin can minimize shear forces and discomfort for the user. One particular application is improving the design of prosthetic liners for amputees, creating a second skin sleeve that provides support without hindering movement. A custom approach offering high resolution marker density, automatic point tracking and correspondences, and computational transparency is presented in this thesis. The entire computational toolbox is presented, which takes in high resolution digital photographs, tracks points on the surface of the body, corresponds points between body poses, computes a series of strain measures, and graphically displays these data. The results of studies of a full bodied human knee and a transtibial amputee's residual limb are presented here as well.</Abstract>
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