RumbleRims: Sideline Eye Tracking Tool for Objective and Accessible Concussion Detection and Recovery
October 2025 - December 2025
A three-part unified system that uses infrared technology to provide neurological insights and guide coaches in taking the next best action, including safe return-to-play decisions.
Design Engineer
Role
Phygital Project for Design Engineering Studio Course (Yr. 1)
Context
Cleo Pontone, Sophia DeVito, Radhika Saran
Team
Figma, Miro, Cursor, Rhino, Blender, Prusa 3D Printer
Tools
Professor Andrew Witt, Shuya Gong
Advisors
Overview
High school sports in the U.S. are growing rapidly, reaching an all-time high of 8.3 million student athletes in 2025, driven by increased participation in girls’ sports (e.g., flag football, wrestling) and the rebound of boys’ football.
Yet, as participation has risen over the past decade, so do the risks: 2.5 million high school athletes reported sustaining at least one concussion in 2017 (not to mention 50-75% estimated that go unreported). The risk is not limited to one demographic as boys’ football, girls’ soccer, and boys’ lacrosse have the highest concussion rates.
The danger is not just in the concussion itself, but whether it is recognized in time so that proper action can be taken. Athletes who continue playing for just 15 more minutes after a hit (causing a concussion) take 2x longer to recover and are 12x more likely to experience prolonged symptoms. Worse, if a concussion going undetected can increase the risk of severe, long-term damage, including Chronic Traumatic Encephalopathy (CTE) and Second Impact Syndrome, which can cause rapid and even fatal brain swelling.
Context
Challenge
Despite the severity of risks, the concussion journey today is fragmented, subjective, and inaccessible. Baseline tests are unreliable, sidelines evaluations rely on quick judgment under pressure, medical imaging is expensive and cannot diagnose concussions directly, and recovery tracking is largely self-reported or non-existent.
Research Question
How might we provide an affordable, portable, and objective way to detect concussion and track recovery, empowering coaches and athletes to make safe return-to play decisions?
This project was completed in December 2025, therefore the full portfolio case study is currently in development. In the meantime, excerpts from our final presentation are included below to convey the product concept and outcomes. Please note that during the final critique, we also executed a live demo of the concussion detection system using the physical device and eyetracking software.
Click here (or scroll to the bottom) to see more on background research.
Final Product
Click a slide below to make image full screen.
