Y.B. Bong et al., "Three-Dimensional (3D) Anthropometry Study of the Malaysian Population", in Proc. of 5th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2014, pp. 167-173, doi:10.15221/14.167.
Three-Dimensional (3D) Anthropometry Study of the Malaysian Population
Yii Bonn Bong 1, Amir F. Merican 1,2, Suhaila Azhar 1, Tahereh Mokhtari 1, Abdul Majid Mohamed 1,3, Asma A. Shariff 1,3
1 Centre of Research for Computational Sciences and Informatics in Biology, Bio industry, Environment, Agriculture and Healthcare, University of Malaya, Kuala Lumpur, Malaysia;
2 Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia;
3 Centre for Foundation Studies in Science, University of Malaya, Kuala Lumpur, Malaysia
Three-dimensional (3D) anthropometry has become an emerging field with the advancement of 3D body scanning technology over the recent years. Conventional method of anthropometry data measurement is time consuming and error-prone. The 3D whole-body surface scanner, which was initially developed for the clothing industry, contributes to healthcare application by providing accurate anthropometric measurements and data visualization in body size, shape and skin surface area. The body scanner utilized 3D photogrammetry technology to generate high quality digital anthropometric information about shapes and sizes of an individual. The aim of the study is to investigate body size and shape of Malaysian females. A cross-sectional study was conducted using random sampling technique. Recruitment of subjects were randomized and based on age and ethnicity. A preliminary study of 160 female subjects was carried out. In addition to the scanning procedures using the body scanner, selected manual anthropometric measurements for height, weight and skinfold thickness were obtained using manual methods and demographic data such as age and ethnic groups were recorded. All manual measurement followed the requirements and procedures stated in the respective ISO documents, involving body posture, landmark and the instrument used. Descriptive statistical analysis for body dimensions and calculations were carried out. The 3D scanners undoubtedly produced highly accurate, consistent and repeatable measurements. However, the scan data can be slightly different from traditional anthropometric data especially for circumference measurements such as chest, waist and hip. Therefore, scanned anthropometric data and manual measurement data are more useful together. We envisage that this study would be beneficial for healthcare providers for growth monitoring and early diagnosis of health problems related to obesity especially for the Malaysian population. Although the study focuses on the healthcare sector, datasets can also be utilized by the industry in the design and production of consumer products related on the human body.
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