HIT THE BALL - BUT HIT IT RIGHT: DETECTING THE GOLFBALL- CLUBFACE IMPACT LOCATION USING IMU DATA

Authors

Bernhard Hollaus, MCI Dpmt. Medical, Health and SportsengineeringFollow
Yannic Heyer, MCI Dpmt. Medical, Health and SportsengineeringFollow
Gerda Strutzenberger, UMIT Tirol, the Tyrolean Private University, Hall, AustriaFollow
Johannes Steiner, Johannes Steiner GolfFollow
Christian Fink, UMIT Tirol, the Tyrolean Private University, Hall, AustriaFollow

Category

Wearable Technology

Document Type

Paper

Abstract

The aim of this proof of concept study was to identify the possibility of estimating the golf ball impact location on the golf club face via IMU data using a machine learning algorithm. The IMU data of 494 golf swings performed by one golf professional using a 7 iron were collected and merged with the impact location detected via a dual-laser technology (TrackMan). After a pre-processing the raw data with normalization and data augmentation stages a neural network, based on convolutional and dense layer, was created. The network was trained on the given data and its performance analysed. As a result, the network was able to predict the horizontal offset to the ideal impact location for 92% of all swings within ±5 mm. Hence a proof of concept could be found.

Recommended Citation

Hollaus, Bernhard; Heyer, Yannic; Strutzenberger, Gerda; Steiner, Johannes; and Fink, Christian (2024) "HIT THE BALL - BUT HIT IT RIGHT: DETECTING THE GOLFBALL- CLUBFACE IMPACT LOCATION USING IMU DATA," ISBS Proceedings Archive: Vol. 42: Iss. 1, Article 168.
Available at: https://commons.nmu.edu/isbs/vol42/iss1/168