Imperial College London
Alternate

ProfessorWilliamKnottenbelt

Faculty of Engineering, Department of Computing

Professor of Applied Quantitative Analysis
 
 
 
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Contact

 

+44 (0)20 7594 8331w.knottenbelt Website

 
 
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Location

 

E363ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Srinivasan:2023,
author = {Srinivasan, P and Subramanian, R and Knottenbelt, W},
publisher = {MIT Sloan Sports Analytics Conference},
title = {Thinking the GOAT: imitating tennis styles},
url = {http://hdl.handle.net/10044/1/102851},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - A tactically aware coach is key to improving tennis players’ games; a coach analyses past matches with two considerations in mind: 1) the style of the player and how that style translates to real-world shot-making, and 2) the intent of a shot, irrespective of the outcome. Modern Hawk-Eye technology deployed in top-tier tournaments has enabled deeper analysis of professional matches than ever before. The aim of this paper is to emulate and augment the qualities of great coaches using data collected by Hawk-Eye; we develop a deep learning approach to imitate tennis players’ responses, to learn individual player styles efficiently, and we demonstrate this using performance metrics and illustrations.
AU  - Srinivasan,P
AU  - Subramanian,R
AU  - Knottenbelt,W
PB  - MIT Sloan Sports Analytics Conference
PY  - 2023///
TI  - Thinking the GOAT: imitating tennis styles
UR  - http://hdl.handle.net/10044/1/102851
ER  -
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