Wearable Real-Time Skateboard Trick Visualization and Its Community Perception

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 a...

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Bibliographic Details
Published in:IEEE computer graphics and applications 2016-09, Vol.36 (5), p.12-18
Main Authors: Groh, Benjamin H., Flaschka, Jasmin, Wirth, Markus, Kautz, Thomas, Fleckenstein, Martin, Eskofier, Bjoern M.
Format: Magazinearticle
Language:English
Subjects:
Computer graphics
computer graphics applications
Motion control
motion visualization
Pattern recognition
pattern recognition algorithms
Real-time systems
sensor technology
Sensors
sports data visualization
Visualization
visualization systems
Wearable computing
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Summary: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.
ISSN:0272-1716
1558-1756
DOI:10.1109/MCG.2016.95