Project · 2021–2022

Tune

A wearable motion-sonification prototype for athletic training and knee rehabilitation, built with ESP32, dual 9DOF accelerometers and sensor-fusion logic.

ESP329DOFKalman

Why it exists

Tune was developed from an idea by Valentina Mello and engineered as a working prototype to transform movement into sound feedback. The goal was to support athletes and patients during knee rehabilitation by making motion quality perceivable in real time.

Project media

Architecture

  • ESP32 microcontroller as the embedded processing unit.
  • Two 9DOF inertial sensors capture movement from different body points.
  • Sensor fusion and filtering extract a more stable representation of motion.
  • A sonification layer maps movement patterns to audio feedback.
  • The wearable form factor keeps the system close to the body while allowing repeated exercises.

Key features

  • Real-time movement acquisition.
  • Dual-sensor wearable setup.
  • Motion sonification feedback.
  • Kalman-filter-based processing concept.
  • Rehabilitation and athletic-training use case.
  • Mentioned in Il Mattino in an interview about the project.

Design decisions

The engineering challenge was turning noisy inertial data into feedback that could be understood immediately by a human user. The project sits between embedded systems, signal processing and interaction design.

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