Back to Search Start Over

Wearable Real-Time Skateboard Trick Visualization and Its Community Perception.

Authors :
Groh, Benjamin H.
Flaschka, Jasmin
Wirth, Markus
Kautz, Thomas
Fleckenstein, Martin
Eskofier, Bjoern M.
Source :
IEEE Computer Graphics & Applications. Sep2016, Vol. 36 Issue 5, p12-18. 7p.
Publication Year :
2016

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02721716
Volume :
36
Issue :
5
Database :
Academic Search Index
Journal :
IEEE Computer Graphics & Applications
Publication Type :
Academic Journal
Accession number :
118500445
Full Text :
https://doi.org/10.1109/MCG.2016.95