Stroke comparison between professional tennis players and amateur players using advanced computer vision

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.
© Copyright 2020 Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support. Published by SciTePress. All rights reserved.

Bibliographic Details
Subjects:
Notations:sport games technical and natural sciences
Tagging:Posenerkennung
Published in:Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support
Language:English
Published: Setúbal SciTePress 2020
Online Access:https://doi.org/10.5220/0010145800440052
Volume:1
Pages:44-52
Document types:article
Level:advanced