How can a mobile application using life sensor data and audio feedback in form of sonification and adaptive music help amateur runners to improve their running technique in order to prevent sports injuries?
Many people listen to music while running for motivational reasons but also to keep up the pace (tempo). This implies a fundamental relationship between music and movement that has been studied broadly from different perspectives such as neuro physiology.
In this project which is part of Nano4Sports, we try to develop a mobile app in which this knowledge combined with life sensor data is used to provide amateur runners with meaningful audio feedback in the form of adaptive music and sonification (of their footsteps) in order to help them to improve their running technique and so preventing sport injuries.
Since the application of persuasive sonic design relies on personal aspects, machine learning is used to calibrate the application at an individual level.
The research is performed with students of FHICT from different streams and takes place at the Nano4Sports runners lab located at the FHICT Strijp TQ building in Eindhoven.