SkillVis: a visualization tool for boxing skill assessment

Hubert P. H. Shum, He Wang, Edmond Ho, Taku Komura

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)
2 Downloads (Pure)

Abstract

Motion analysis and visualization are crucial in sports science for sports training and performance evaluation. While primitive computational methods have been proposed for simple analysis such as postures and movements, few can evaluate the high-level quality of sports players such as their skill levels and strategies. We propose a visualization tool to help visualizing boxers’ motions and assess their skill levels. Our system automatically builds a graph-based representation from motion capture data and reduces the dimension of the graph onto a 3D space so that it can be easily visualized and understood. In particular, our system allows easy understanding of the boxer’s boxing behaviours, preferred actions, potential strength and weakness. We demonstrate the effectiveness of our system on different boxers’ motions. Our system not only serves as a tool for visualization, it also provides intuitive motion analysis that can be further used beyond sports science.
Original languageEnglish
Publication statusPublished - 11 Oct 2016
EventMotion in Games 2016 - San Francisco
Duration: 10 Oct 2016 → …

Conference

ConferenceMotion in Games 2016
Period10/10/16 → …

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