Race Walking Data Visualization

2025 · 2025 Competition

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)
Race Walking Data Visualization screenshot 1
Race Walking Data Visualization screenshot 2
Race Walking Data Visualization screenshot 3

Team Members

Elvis Cao
Elvis Cao
Lead
Ostap Bezrukyy
Ostap Bezrukyy
Nico Saputra
Nico Saputra
Jia Cong Li
Jia Cong Li
Jaydeep Dave
Jaydeep Dave
Sotero Casiano
Sotero Casiano
Zach Bridgers

Advisors

Jeff Salvage
Jeff Salvage