Tool for visualization of race walking data.
Tool for importing databases with data from race walking events and visualizing them, to understand better when athletes are following rules/regulations surrounding the sport.
Race walking is a sub-discipline of Track & Field. Race walking is a progression of steps so taken that the walker makes contact with the ground so that no visible (to the human eye) loss of contact occurs. The advancing leg must be straightened (i.e., not bent at the knee) from the moment of first contact with the ground until the leg is in the vertical upright position. Five to nine judges evaluate athletes with their naked eye based on whether the athlete has Loss of Contact to the ground and/or a Bent Knee. Data collection from judges is either by hand or electronic. Once the race has completed, a Summary Sheet is filed which contains historical data of all the calls during a race. The Summary Sheet is not conducive to data analysis. Video evidence is also captured, analyzed and entered into the database. The Race Walking Visualization Tool creates an automated data evaluation system that encompasses both the summary sheet and video analysis of race walking data to better analyze the consistency of the judges. This tool can be used by users at any level of technology literacy.
andrew.joseph.rodebaugh@drexel.edu
yuchao.chao.li@drexel.edu
matthew.blake.cerny@drexel.edu
caraton.dixon@drexel.edu
tu.buiminh.phan@drexel.edu
ethan.joseph.harriz@drexel.edu
manish.tejalkumar.patel@drexel.edu
jeff.k.salvage@drexel.edu
jeff.k.salvage@drexel.edu