FormWings

An on-device running form analyser built on IMU sensing and machine learning. A Nano 33 BLE (LSM9DS1) streams raw accelerometer and gyroscope data over UART; the UNO Q Linux side runs an XGBoost classifier (with a fp16 TFLite Transformer as fallback) to assess running form per window. Metrics tracked: cadence (spm), vertical oscillation (cm), ground contact time (ms), trunk forward lean (deg), heel-strike likelihood, and impact loading rate (BW/s). Modulino Thermo adds environment context — temperature, humidity, heat index, and heat-risk scoring. Predictions are broadcast over BLE using a compact MsgPack JSON format and visualised on a React + Vite web dashboard with live posture arc and metric strip.

Poster

System architecture

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