Citation

Groh BH, Flaschka J, Wirth M, Kautz T, Fleckenstein M, Eskofier BM. IEEE Comput. Graph. Appl. 2016; 36(5): 12-18.

Copyright

(Copyright © 2016, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/MCG.2016.95

PMID

28113144

Abstract

Motion visualization is an attractive way to provide support for a range of recreational and competitive sports. In skateboarding, sensor technology in particular can help visualization systems capture the motion of athletes to provide relevant information to athletes, judges, and spectators. This article describes the authors' proposed application of a 9D inertial-magnetic measurement unit (IMMU) based real-time trick classification and visualization system. It also reports on a survey they conducted with skateboarders that asked about the usefulness, acceptance, and future ideas of such a system.

Language: en