M. Almousa, "The Development of a National Anthropometric Data Bank for Saudi Adults: The Initial Stage", in Proc. of 7th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2016, pp. 266-268, doi:10.15221/16.266.
The Development of a National Anthropometric
Data Bank for Saudi Adults: The Initial Stage
College of Food Sciences and Agriculture, King Saud University, Riyadh, Saudi Arabia
Although the Saudi Arabian apparel market is the largest in the Middle East, there is no data or current size standards to accurately define the anthropometric size and shape of Saudi population. In recent years there have been requests from some of potential investors in the apparel industry and consumers to provide relevant size reference material. There is an urgent need for such data bank especially with the country's newly announced 2030 Vision to diversify the economy by welcoming forgin investments and creating 35 industrial cities under the umbrella of Saudi Industrial Property Authority (MODON), where the localization of many industries including apparel is highly encouraged.
The main aim for SizeSaudi national survey is to develop a national anthropometric data bank for Saudi adults using 3D scan technology. A sizing system for both Saudi males and females will be developed as-well-as body shape analysis for the country's adult population. The project is fully funded by King Abdulaziz City for Science and Technology (KACST). This paper presents the summery of the planning phase of the project. Unlike similar national sizing surveys that have been conducted, SizeSaudi project may face different obstacles due to the conservative nature of the Saudi culture where privacy may be an issue especially in collecting 3D data for female participants. To solve this issue, we omitted the awareness campaigns and media advertisements that were initially proposed.
Five thousand Saudis adults aged 16 years or older will be scanned using three-dimensional body scanner. The scanner that will be employed by SizeSaudi is based on photogrammetry technique which works by projecting safe white light stripes on scanned subjects and capture the distortions of light stripes by cameras. The scanner has high resolution sensors with average point density of 25 points/cm2, one second 3D scanning time, and five seconds calibration time. The automatic body measurement extraction is based on ISO-8559 standard. In addition to 140 3D body measurements that will be obtained from the scanner, manual anthropometric measurements and body composition analysis will be obtained.
A multistage data collection process will be employed. First, respondents will register and respond to questionnaire through the project website, followed by watching an introduction video about the project and the scanning process, signing the consent form, manual measurements and body composition analysis, and the last stage is 3D scanning. Questionnaire includes sociodemographic characteristics, body satisfaction health-related habits, and chronic diseases. After collecting data from participants, three different sets of questionnaires will be sent via email for participants who are willing to further participate in any of the sub studies including: marketing and purchase behavior, privacy, and dietary habits. Manual measurements that will be collected include stature, crotch height, crotch length, vertical trunk circumference, and armcye height as advised by the project expert advisor. Body Composition Analyzer will be used which provides weight and a complete body composition analysis for each participant in less than 30 seconds. Data include weight, body fat percentage, body fat mass, body mass index (BMI), fat free mass, estimated muscle mass, total body water and basal metabolic rate.
Data will be collected from five main regions in the country (Central, North, East, West, and South), where for female participants will be collected in 3D scanning centers inside female university campuses and for male participants in booths in main university lobbies as well as in shopping malls.
A one week training course by an expert from the 3D scanner manufacturing company for the research team on the 3D body scanner and related purchased software was conducted, while a second will take place next September. A series of experiments were conducted to test for synchronizing the three data sets; questionnaires, manual measurements and body composition analysis, and 3D scan data. Moreover, three samples of modest scan wear were tested to determine which scan wear will be used without jeopardizing the quality of the 3D scan data. After finishing the planning stage, a pilot study will take place in September 2016 with 40 participants, 20 females and 20 males before conducting the national survey.
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