@inproceedings{3d6ce126d73847b8bd04bb53c225df16,
title = "How to VizSki: Visualizing captured skier motion in a VR Ski training simulator",
abstract = "Alpine ski training is restricted by environmental requirements and the incremental and cyclical ways of how movement and form are taught. Therefore, we propose a virtual reality ski training system based on an indoor ski simulator. The system uses two trackers to capture the motion of skis so that users can control them on the virtual ski slope. For trainingwe captured the motion of professional athletes and replay them to the users to help them to improve their skills. In two studies, we explore the utility of visual cues to help users to effectively learn the motion patterns from the pro-skier. In addition, we look at the impact of feedback on this learning process. The work provides the basis for developing and understanding the possibilities and limitations of VR ski simulators, which have the potential to support skiers in their learning process.",
keywords = "Motion Visualization, Ski Simulator, Ski Training, Virtual Reality, Visual Feedback",
author = "Erwin Wu and Florian Perteneder and Takayuki Nozawa and Hideki Koike",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2019 ; Conference date: 14-11-2019 Through 16-11-2019",
year = "2019",
month = nov,
day = "14",
doi = "10.1145/3359997.3365698",
language = "英語",
series = "Proceedings - VRCAI 2019: 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry",
publisher = "Association for Computing Machinery, Inc",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - VRCAI 2019",
}