Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)

The Establishment of Young Women Jogging Pants Suit Dynamic Type Version Based on Three-dimensional Human Body Data

Authors
Xian Li, Minghai Cui
Corresponding Author
Xian Li
Available Online December 2017.
DOI
10.2991/ecae-17.2018.51How to use a DOI?
Keywords
three-dimensional scanning; young women; jogging pants; version optimization
Abstract

Through three-dimensional scanning technology, the dynamic human body data of young women jogging is obtained. This paper applies Auto CAD plug in, and aims at the wire-frame model of scanning action to carry out a experiment which transforms three dimensions into two dimensions. The sample plate obtained through this method can reflect the leg shape of human body directly. After combining with dynamic sample plate when it flats running, the adjusted pattern can be taken as an important basis for running pants pattern design directly.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
Series
Advances in Engineering Research
Publication Date
December 2017
ISBN
10.2991/ecae-17.2018.51
ISSN
2352-5401
DOI
10.2991/ecae-17.2018.51How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xian Li
AU  - Minghai Cui
PY  - 2017/12
DA  - 2017/12
TI  - The Establishment of Young Women Jogging Pants Suit Dynamic Type Version Based on Three-dimensional Human Body Data
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 241
EP  - 244
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.51
DO  - 10.2991/ecae-17.2018.51
ID  - Li2017/12
ER  -