A mobile system for golf putt analysis and feedback is of high interest for technique training in the field and motor learning research. Recently, instrumented golf clubs comprising inertial measurement units (IMU) were introduced. However, a mobile analysis and augmented feedback system has not been realized so far.

We developed such a system that featured automatic putt detection and parameter calculation as well as a closed feedback loop. With this system, data were collected to assess the motor learning effects of repetitive training. We analysed the training progress of eight players (2056 putts) based on 31 kinematic parameters.

Our system detected more than 83 % of the putts for most of the participants while maintaining a false positive rate of 2.4 %. The training progress analysis revealed interesting insight of how relevant kinematic parameters change on a learning path. This feature is an enhancement to the classical pre-post analysis in motor learning research and can be used as to adjust training programs.

In principle, the presented system can be used to realize mobile augmented feedback training for various sports disciplines beyond golf putting. It therefore provides an interesting tool for the analysis of motor learning processes in more detail.