Monitoring Subconcussive Impacts Through a Helmet-Embedded Device

I built a helmet-embedded prototype that records head impacts in real time — six force-sensitive resistors for pressure distribution plus dual triple-axis accelerometers for acceleration, run through an ESP32 Feather V2 over Bluetooth Low Energy and logged through a Python UI I wrote myself. Drop-test trials against a Vernier motion sensor control put it at about 86% accuracy (13.94% error). The poster above is what I presented at the LCPS Regional Science and Engineering Fair, where it won the Biomedical Engineering Aspiring Scientist Award, a Collins Aerospace Award, an IEEE Technology Excellence Award, and second place from the Potomac AIHA — full write-up in my RSEF presentation, and the rest of that year's projects are in the RSEF repository.