The purpose of this paper is to report the augmented golf coaching implications of novel annotations solutions and silhouette-based video transformations from commonly used video sources. The annotations include ‘one-click’ 3D grid drawing and automated club head tracking. The developed software is based on computer vision approaches to facilitate golf coaching from beginner to intermediate skill-level players and was tested on two driving ranges under different lighting conditions. The end-session reporting enables coaches to provide visual annotations of elements of swing performance with additional privacy preservation of captured media files into two-colours pseudo-3D silhouette. Future work is aimed at advancements of preserving video streaming and technology transfer to advance diverse sports disciplines, healthcare and sports science.
New Investigator Award
Chan, Kam Yuk (Leona) and Bačić, Boris
"PSEUDO-3D BINARY SILHOUETTE FOR AUGMENTED GOLF COACHING,"
ISBS Proceedings Archive: Vol. 36:
1, Article 188.
Available at: https://commons.nmu.edu/isbs/vol36/iss1/188