NDLI: Automated anthropometric data collection from three-dimensional digital human models

Content Provider	Springer Nature Link
Author	Wang, Mao Jiun J. Wu, Wen Yen Lin, Kuo Chao Yang, Shi Nine Lu, Jun Ming
Copyright Year	2006
Abstract	This paper presents the development of an automated anthropometric data-collection system for digital human models obtained from a three-dimensional whole-body scanner. Thirty-seven landmarks were specified for feature recognition and data collection. Both color information and geometric relations were used to develop the algorithms for identifying the landmarks. The proposed landmark identification method has been tested on 105 human models. The recognition rate was over 98%. The experimental results indicate that the proposed method was very efficient and effective in identifying the landmarks. Furthermore, 103 anthropometric dimensions can be extracted from a digital human model. Comparing the data obtained from the proposed system with those obtained by the traditional direct measurement method, the system is fast, accurate, and consistent. Moreover, based on the collected body dimensions, clothing patterns can be directly generated in CAD file format, and textile cutting can be subsequently executed by a CNC laser cuter. An automated tailoring system can thus be developed. The concept of mass customization for the apparel industry can thus be realized.
Starting Page	109
Ending Page	115
Page Count	7
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	32
Issue Number	1-2
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-02-25
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Landmark identification Digital human model Whole body scanner Anthropometric data Mass customization Automated tailoring system Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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