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Posture-based and action-based graphs for boxing skill visualization

Shen, Y., Wang, H., Ho, E.S.L. , Yang, L. and Shum, H.P.H. (2017) Posture-based and action-based graphs for boxing skill visualization. Computers and Graphics, 69, pp. 104-115. (doi: 10.1016/j.cag.2017.09.007)

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Abstract

Automatic evaluation of sports skills has been an active research area. However, most of the existing research focuses on low-level features such as movement speed and strength. In this work, we propose a framework for automatic motion analysis and visualization, which allows us to evaluate high-level skills such as the richness of actions, the flexibility of transitions and the unpredictability of action patterns. The core of our framework is the construction and visualization of the posture-based graph that focuses on the standard postures for launching and ending actions, as well as the action-based graph that focuses on the preference of actions and their transition probability. We further propose two numerical indices, the Connectivity Index and the Action Strategy Index, to assess skill level according to the graph. We demonstrate our framework with motions captured from different boxers. Experimental results demonstrate that our system can effectively visualize the strengths and weaknesses of the boxers.

Item Type:Articles
Additional Information:This work was supported in part by the Engineering and Physical Sciences Research Council (EPSRC) (Ref: EP/M002632/1) and the Royal Society (Ref: IE160609).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ho, Dr Edmond S. L
Authors: Shen, Y., Wang, H., Ho, E.S.L., Yang, L., and Shum, H.P.H.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Computers and Graphics
Publisher:Elsevier
ISSN:0097-8493
ISSN (Online):0097-8493
Published Online:14 October 2017
Copyright Holders:Copyright © 2017 The Author(s)
First Published:First published in Computers and Graphics 69:104-115
Publisher Policy:Reproduced under a Creative Commons licence

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