Summary

This project investigates how human augmentation can bridge the gap between subjective coaching expertise and objective measurement. Working in close collaboration with High Performance Sport New Zealand (HPSNZ), the research utilizes a “Research Through Design” methodology to develop a socio-technical solution. At the core of this work is the “Rhythm Profile” – a novel conceptual model that integrates objective sensor data with subjective expert ratings to create a personalized “performance highway” for each athlete.

In elite track and field events such as sprinting, hurdling, and jumping, “rhythm” is a critical determinant of performance. However, it remains an elusive skill to measure; while expert coaches can see it and athletes can feel it, current technologies often struggle to capture this holistic quality, focusing instead on isolated biomechanical metrics. This disconnect creates a barrier to systematically training rhythm skills.

To support skill acquisition in real-time, the project is developing a system that utilizes wearable Inertial Measurement Units (IMUs) and computer vision to track athlete movement. By employing adaptive sonification (audio feedback), the system converts deviations from the target Rhythm Profile into intuitive soundscapes. This allows elite athletes to adjust their timing, coordination, and flow “eyes-free” during high-speed training, enhancing their ability to acquire and retain complex rhythmic skills.

Acknowledgement

This PhD project is conducted in collaboration with High Performance Sport New Zealand (HPSNZ).

Related Project

Human Augmentation for Rhythm Skill Acquisition in Elite Sport

Researcher and Contact

Md Tanvir Hossain

Supervisory Team

• • Prof Stephan Lukosch, HIT Lab NZ, University of Canterbury
  • Prof Rob Lindeman, HIT Lab NZ, University of Canterbury
  • Matt Ingram, High Performance Sport New Zealand (HPSNZ)

UC People