Longitudinal Shoe Study: 3D Shoe Scans
datasetposted on 12.12.2019 by Susan Vanderplas, Guillermo Basulto-Elias, James Kruse, Alicia Carriquiry, Stacy Renfro
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
3D scans of the soles of 160 pairs of shoes (“Nike Winflo 4” or “Adidas Seeley”; 4 sizes each), with associated measurements and data about shoe wear, surfaces, and wearers.
Each pair of shoes was worn for at least 10,000 steps per week over a 6-month period, with multiple measurements of the shoe soles taken initially and during three check-in periods spaced at approximately 5 week intervals.
The images are accompanied by 3 CSV files describing the shoes, visit (information collected from surveys along with the shoes), and individual images. The codebooks contain descriptions of the variables in each of the CSV files as well as a more extensive description of the file naming scheme outlined in the README.
These files can be used to examine wear pattern development in 3D, to compare 3D data capture to 2D capture methods, and to explore which artifacts may be present in 3D scans.