Estimation of Body Size by Combining Genetic Algorithm with Human Body Model

DOI

10.2991/eame-17.2017.77How to use a DOI?

Keywords

genetic algorithm: GA; surface area; the control points of b-spline surface

Abstract

Estimation of body size using related dataset is one of the challenging tasks in modeling and simulation area. It has a wide range of utilization in many aspects in society including body modeling, designing clothes etc. It is necessary to extract feature data in body size measurement. Except ordinary data such as the body height, weight and chest size, the body surface area and volume were made up B-Spline surface shape model by linear combined with these data in this paper. Several control points were selected after using Genetic Algorithm (GA) to select best points in theses dataset, and mathematical model of estimating human body size was created. Experimental results indicated that this model has advantages of high efficiency and low error rates in estimating human body size.

Copyright

© 2017, 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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TY  - CONF
AU  - Nurbiya Yadikar
AU  - Shujing Zhang
AU  - Hornisa Mamat
AU  - Mutallip Mamut
AU  - Kurban Ubul
PY  - 2017/04
DA  - 2017/04
TI  - Estimation of Body Size by Combining Genetic Algorithm with Human Body Model
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 326
EP  - 329
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.77
DO  - 10.2991/eame-17.2017.77
ID  - Yadikar2017/04
ER  -