Literature DB >> 25683546

3D skin length deformation of lower body during knee joint flexion for the practical application of functional sportswear.

Jiyoung Choi1, Kyunghi Hong2.   

Abstract

With the advent of 3D technology in the design process, a tremendous amount of scanned data is available. However, it is difficult to trace the quantitative skin deformation of a designated location on the 3D body surface data during movement. Without identical landmarks or reflective markers, tracing the same reference points on the different body postures is not easy because of the complex shape change of the body. To find the least deformed location on the body, which is regarded as the optimal position of seams for the various lengths of functional compression pants, landmarks were directly marked on the skin of six subjects and scanned during knee joint flexion. Lines of non-extension (LoNE) and maximum stretch (LoMS) were searched for, both by tracing landmarks and newly drawn guidelines based on ratio division in various directions. Considering the waist as the anchoring position of the pants, holistic changes were quantified and visualized from the waistline in lengthwise and curvilinear deformation along the dermatomes of the lower body for various lengths of pants. Widthwise and unit area skin deformation data of the skin were also provided as guidelines for further use such as streamlined pants or design of other local wearing devices.
Copyright © 2014 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Keywords:  Functional compression pants; Line of non-extension; Skin length deformation

Mesh:

Year:  2014        PMID: 25683546     DOI: 10.1016/j.apergo.2014.11.016

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  1 in total

1.  Skin-conformable printed supercapacitors and their performance in wear.

Authors:  Anna Railanmaa; Ayat Soltani; Suvi Lehtimäki; Nazanin Pournoori; Jari Keskinen; Mikko Hokka; Donald Lupo
Journal:  Sci Rep       Date:  2020-09-16       Impact factor: 4.379

  1 in total

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