SkillVis: a visualization tool for boxing skill assessment

Shum, Hubert P. H., Wang, He, Ho, Edmond and Komura, Taku (2016) SkillVis: a visualization tool for boxing skill assessment. In: Motion in Games 2016, 10th - 12th October 2016, San Francisco.

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Official URL: http://dx.doi.org/10.1145/2994258.2994266

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: motion graph, information visualization, dimensionality reduction
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Hubert P. H. Shum
Date Deposited: 01 Nov 2016 15:11
Last Modified: 05 Sep 2017 09:55
URI: http://nrl.northumbria.ac.uk/id/eprint/28251

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