Posture-based and Action-based Graphs for Boxing Skill Visualization

Posture-based and Action-based Graphs for Boxing Skill Visualization

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.

Publication

Yijun Shen, He Wang, Edmond S. L. Ho, Longzhi Yang and Hubert P. H. Shum,
"Posture-based and Action-based Graphs for Boxing Skill Visualization",
Computers and Graphics (C&G)

Citation=4## IF=1.200#

# Impact factor from the Journal Citation Reports as of 2017
## Citation count from Google Scholar as of 2018

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References

BibTeX

@article{shen17posture,
 author={Shen, Yijun and Wang, He and Ho, Edmond S. L. and Yang, Longzhi and Shum, Hubert P. H.},
 journal={Computers and Graphics},
 title={Posture-based and Action-based Graphs for Boxing Skill Visualization},
 year={2017},
 volume={69},
 number={Supplement C},
 pages={104--115},
 numpages={13},
 doi={10.1016/j.cag.2017.09.007},
 issn={0097-8493},
 publisher={Elsevier},
}

EndNote/RefMan

TY  - JOUR
AU  - Shen, Yijun
AU  - Wang, He
AU  - Ho, Edmond S. L.
AU  - Yang, Longzhi
AU  - Shum, Hubert P. H.
T2  - Computers and Graphics
TI  - Posture-based and Action-based Graphs for Boxing Skill Visualization
PY  - 2017
VL  - 69
IS  - Supplement C
SP  - 104
EP  - 115
DO  - 10.1016/j.cag.2017.09.007
SN  - 0097-8493
PB  - Elsevier
ER  - 

Plain Text

Yijun Shen, He Wang, Edmond S. L. Ho, Longzhi Yang and Hubert P. H. Shum, "Posture-based and Action-based Graphs for Boxing Skill Visualization," Computers and Graphics, vol. 69, no. Supplement C, pp. 104-115, Elsevier, 2017.

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Last update: 18/06/2019