Race Walking Data Visualization
School:
School of Computer and Information Sciences
Category:
Data SciencePrimary
Project Overview
One Liner: Standardizing race-walking judgments through data-driven visualization.
Abstract
This project aims to enhance the fairness and consistency of race-walking judgments by developing a system to analyze and visualize Loss of Contact (LOC) legality. Using image analysis, we capture and evaluate a race-walker's step, flagging any violations based on the rules of race walking. The visualization tool provides an accessible tool to objectively assess conformity and improve the transparency of race-walking competitions.
Video available at this link.
Screenshots
3 image(s)