A. Gabel and A. West, "Athletic Sizing Based on Performance", in Proc. of 5th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2014, pp. 280-289, doi:10.15221/14.280.
Athletic Sizing Based on Performance
Ashley Gabel, Andre West
NC State University College of Textiles, Department of Textiles and Apparel, Technology and Management, Raleigh, NC, USA
For many sportswear companies, the sizing of athletic garments follows the same guidelines as sizing for everyday casual garments. This research team feels this is not a precise way to size clothing for athletes as their body shapes tend to be different than that of the general population. Elite athletes' body shapes and sizes are similar depending on the sports they partake in. Proposed in this paper is a new sizing system for athletes based on athletic performance.
In order to appropriately create a size distribution for athletes, specific data on athlete body types and performance must be gathered. Researchers at NCSU have collected data sets to find these details by scanning athletes at a sprint triathlon in the Raleigh, North Carolina area. The research team chose to collect scans at a sprint triathlon because it is significantly shorter than a full triathlon, which will encourage people of all body types to participate, and because it allows for collection of data for running, swimming, and cycling.
Participants were scanned using the Vitus Smart XXL laser body scanner provided by Human Solutions. This is a laser-based body scanner made by Human Solutions Assyst AVM. The Vitus Smart XXL is ideal for this research because it uses the optical triangulation method with four separate lasers to find measurements that are accurate to +/- 1 mm. The scans taken after the race were compared to the athletes' finishing times. The sample of runners have been segmented into groups based on their finishing times. The scans within each group were averaged into one avatar with Human Solutions' Anthroscan Scan Database software. These avatars represent each group's average measurements. Each segment has a significantly different body type, which has been converted into measurements for sizing. By using this segmented population that were not adverse to body measurement we believe we can develop a more uniform sizing criteria that could then benefit other segmented groups.
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