@article{ref1,
title="Wearable real-time skateboard trick visualization and its community perception",
journal="IEEE computer graphics and applications",
year="2016",
author="Groh, Benjamin H. and Flaschka, Jasmin and Wirth, Markus and Kautz, Thomas and Fleckenstein, Martin and Eskofier, Bjoern M.",
volume="36",
number="5",
pages="12-18",
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.<p /> <p>Language: en</p>",
language="en",
issn="0272-1716",
doi="10.1109/MCG.2016.95",
url="http://dx.doi.org/10.1109/MCG.2016.95"
}