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Body Measurement Using 3D Handheld Scanner

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Bibliographic Details
Main Authors: Mohamed Najib, Salleh, Halim, Mad Lazim, Hendrikbin, Lamsali
Other Authors: najib@uum.edu.my
Format: Article
Language:English
Published: Kementerian Pendidikan Tinggi (KPT), Malaysia 2018
Subjects:
Body Measurement
Handheld Scanner
Custom-made Garment
Non-contact Measurement
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/53744
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spelling my.unimap-537442018-06-21T14:16:43Z Body Measurement Using 3D Handheld Scanner Mohamed Najib, Salleh Halim, Mad Lazim Hendrikbin, Lamsali najib@uum.edu.my Body Measurement Handheld Scanner Custom-made Garment Non-contact Measurement Link to publisher's homepage at http://www.mohejournal.com/index.php/mohe Body measurement is the first process that must be encountered before any custom-made compression garment can be designed. The current practice of obtaining the measurement is by traditional methods using tools like measuring tape. However, this method is considered to be time-consuming and usually not accurate. The most popular solution to the problem is by using non-contact measurement. The development of the 3D whole body scanner has made non-contact body measurement become a reality due to its capacity to capture a vast amount of information. However, the cost to buy the whole body scanner is quite expensive. Moreover, their sizes are also bulky which make them less portable. Thus, a handheld body scanner provides a solution to the problem. Despite that, current handheld scanner only provide image and visualization aspect, but not the measurement aspect. This paper reports the development of a method to acquire body data from a 3D handheld scanner. In this new method, the point cloud of a body part was collected using the handheld scanner. Then, the data was transformed into point coordinates. Several processes were developed to filter the number of points to allow for faster processing time and increasing the measurement accuracy. In the first process, only points at specific height/layers are selected. In the second process, the remaining points are rearranged according to their height and angle. In the last process, the number of points is further reduced. In this process, the number of points per layer is limited to 72 points. Results show that the method can be used to determine body measurement. 2018-06-21T14:16:43Z 2018-06-21T14:16:43Z 2018 Article Movement, Health & Exercise (MoHE), vol.7(1), 2018, pages 179-187 2231-9409 (Print) 2289-9510 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/53744 en Kementerian Pendidikan Tinggi (KPT), Malaysia
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Body Measurement
Handheld Scanner
Custom-made Garment
Non-contact Measurement
spellingShingle Body Measurement
Handheld Scanner
Custom-made Garment
Non-contact Measurement
Mohamed Najib, Salleh
Halim, Mad Lazim
Hendrikbin, Lamsali
Body Measurement Using 3D Handheld Scanner
description Link to publisher's homepage at http://www.mohejournal.com/index.php/mohe
author2 najib@uum.edu.my
author_facet najib@uum.edu.my
Mohamed Najib, Salleh
Halim, Mad Lazim
Hendrikbin, Lamsali
format Article
author Mohamed Najib, Salleh
Halim, Mad Lazim
Hendrikbin, Lamsali
author_sort Mohamed Najib, Salleh
title Body Measurement Using 3D Handheld Scanner
title_short Body Measurement Using 3D Handheld Scanner
title_full Body Measurement Using 3D Handheld Scanner
title_fullStr Body Measurement Using 3D Handheld Scanner
title_full_unstemmed Body Measurement Using 3D Handheld Scanner
title_sort body measurement using 3d handheld scanner
publisher Kementerian Pendidikan Tinggi (KPT), Malaysia
publishDate 2018
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/53744
_version_ 1643804004618076160
score 13.222552

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