Results 1 to 10 of about 262,470 (199)

Tennis ball detection based on YOLOv5 with tensorrt [PDF]

open access: yesScientific Reports
Tennis, as a popular competitive sport, has complex rules and requires high accuracy and fairness in penalization. To improve the accuracy and speed of the penalty, the study proposes a hawk eye detection method for tennis games based on YOLOv5 and ...
Xiulei Zhang, Bin Li
doaj   +2 more sources

Enhancing Tennis Practice: Sensor Fusion and Pose Estimation with a Smart Tennis Ball [PDF]

open access: yesSensors
This article demonstrates the integration of sensor fusion for pose estimation and data collection in tennis balls, aiming to create a smaller, less intrusive form factor for use in progressive learning during tennis practice.
Yu Kit Foo, Xi Li, Rami Ghannam
doaj   +2 more sources

The difference of dynamic elasticity characteristics and stroke effect between two types of new material seamed plastic table tennis ball [PDF]

open access: yesScientific Reports
The diameter and weight of different brands of table tennis ball will affect the ball’s elasticity and stroke. The purpose of this study is to analyze the difference of the dynamic elasticity and stroke effect between the two brands of new plastic ball ...
Jiajie Tian, Zerong Wang, Yi Xiao
doaj   +2 more sources

The Dependence of Repulsion Tennis Ball from the Air Pressure in it [PDF]

open access: yesJournal of Anthropology of Sport and Physical Education, 2018
The aim of this study is to determine the elastic (refl ective) properties of the tennis ball depending on the air pressure in it. The standard tennis ball was released on a fl at, solid surface from a height of nine meters, three times.
Dusko Bjelica   +2 more
doaj   +1 more source

Does an eye-hand coordination test have added value as part of talent identification in table tennis? A validity and reproducibility study. [PDF]

open access: yesPLoS ONE, 2014
This study investigated the added value, i.e. discriminative and concurrent validity and reproducibility, of an eye-hand coordination test relevant to table tennis as part of talent identification.
Irene R Faber   +2 more
doaj   +1 more source

Coefficient of Restitution of Wet Tennis Balls [PDF]

open access: yesInternational Scholastic Journal of Science, 2014
The coefficient of restitution of a damp tennis ball is of interest to tennis players. Using a spray bottle, water was added to a tennis ball and the mass of water on the wet ball was determined. The ball was then dropped from a fixed height of 0.86 m.
Eugene Jang, Tony Kim
doaj   +1 more source

TennisSense: a platform for extracting semantic information from multi-camera tennis data [PDF]

open access: yes, 2009
In this paper, we introduce TennisSense, a technology platform for the digital capture, analysis and retrieval of tennis training and matches. Our algorithms for extracting useful metadata from the overhead court camera are described and evaluated.
Connaghan, Damien   +3 more
core   +2 more sources

Developing an Intelligent Table Tennis Umpiring System: Identifying the ball from the scene [PDF]

open access: yes, 2008
This paper reports further development of an intelligent table tennis umpiring system, of which the idea and plan was previously published at this conference in 2007. Briefly, table tennis is a fast sport.
Wong, Patrick K. C.
core   +1 more source

The Tennis Ball Problem

open access: yesJournal of Combinatorial Theory, Series A, 2002
In how many ways can \(n\) numbers be chosen from the set \(\{1,2,\dots, ns\}\) so that the \(k\)th number chosen does not exceed \(ks\)? And what is the total sum, over all these choices, of the numbers chosen? These problems were solved for \(s=2\) in [\textit{C. L. Mallows} and \textit{L. Shapiro}, Balls on the lawn, J. Integer Seq.
MERLINI, DONATELLA   +2 more
openaire   +1 more source

Exploring the Gaze Behavior of Tennis Players with Different Skill Levels When Receiving Serves through Eye Movement Information

open access: yesApplied Sciences, 2021
Background: The purpose of this study was to explore the gaze behavior of tennis players with different skill levels when receiving serves through eye movement information.
Yen-Nan Lin, Jun Wang, Yu Su, I-Lin Wang
doaj   +1 more source

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