Stroke Comparison between Professional Tennis Players and Amateur Players using Advanced Computer Vision

Lisa Baily, Nghia Truong, Jonathan Lai, Phong Nguyen

2020

Abstract

In this paper, we created a method to find how professional and amateur tennis serves differ from each other. We collected videos from online and from our own recordings and turned those videos into frames. From those frames, we manually selected ones appropriate for our study and ran those through a pose estimation system, which turned those frames into simple stick figures of the players including all the x and y coordinates of the player. By normalizing all data, we were able to calculate the Euclidean distance between two compared players’ joints and analyze their consistency in their serves. Our results from our t-tests showed that there was a significant difference between the amateur’s consistency and the pro’s consistency and body parts like both shoulders showed a significant difference.

Paper Citation

in Harvard Style

Baily L., Truong N., Lai J. and Nguyen P. (2020). Stroke Comparison between Professional Tennis Players and Amateur Players using Advanced Computer Vision.In Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-481-7, pages 44-52. DOI: 10.5220/0010145800440052

in Bibtex Style

@conference{icsports20,
author={Lisa Baily and Nghia Truong and Jonathan Lai and Phong Nguyen},
title={Stroke Comparison between Professional Tennis Players and Amateur Players using Advanced Computer Vision},
booktitle={Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2020},
pages={44-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010145800440052},
isbn={978-989-758-481-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - Stroke Comparison between Professional Tennis Players and Amateur Players using Advanced Computer Vision
SN - 978-989-758-481-7
AU - Baily L.
AU - Truong N.
AU - Lai J.
AU - Nguyen P.
PY - 2020
SP - 44
EP - 52
DO - 10.5220/0010145800440052