Simulation of Tennis Spinning Ball Flight Path Based on Fuzzy Reasoning Algorithm
Por um escritor misterioso
Last updated 18 junho 2024
Topspin is one of the most widely used hitting techniques in a tennis match and it is an effective tool to win over the opponent. Hence, flight path simulation of a spinning ball can be a tremendous analysis tool to help tennis players perfect their game. This article proposes a fuzzy logic model based on the principles of kinematics and mechanics. This study analyzes the physical characteristics of a spinning ball during the flight process, which are divided into two categories: the characteristics of the ball on impact (including the floating and rotating it causes) and the landing rebound characteristics. These two characteristics are considered as the constraints of the flight path simulation and the inputs of the fuzzy logic model. Fuzzy logic is used to fuzzify the impact and landing rebound information of the ball based on the knowledge base, solve the problem, and finally defuzzify the results into crisp outputs, that is, accurate flight trajectory. The simulation results show that the estimation error of the proposed model is lower than 3.7 cm/s and 0.9°, and the success rate of accurate topspin execution is 100%, indicating that the proposed model is effective to train tennis players.
Using a 3DOF Parallel Robot and a Spherical Bat to Hit a Ping-Pong Ball - Alberto Trasloheros, José M. Sebastián, Jesús Torrijos, Ricardo Carelli, Flavio Roberti, 2014
Traditional Computer-Vision Methods Implemented in Sports
Simulation of Tennis Spinning Ball Flight Path Based on Fuzzy Reasoning Algorithm
Tennis ball trajectory estimation using GA-based fuzzy adaptive nonlinear observer
Tennis ball trajectory estimation using GA-based fuzzy adaptive nonlinear observer
The YOLO series algorithm detection process
Simulation of Tennis Match Scene Classification Algorithm Based on Adaptive Gaussian Mixture Model Parameter Estimation
PDF] A study of spin effects on tennis ball aerodynamics
Binocular Vision-Based Recognition Method for Table Tennis Motion Trajectory
Spin of the point P on the ball surface.
Binocular Vision-Based Recognition Method for Table Tennis Motion Trajectory
Recomendado para você
-
MPF e MP/SP vão investigar aplicativo simulador de escravidão18 junho 2024
-
Google Removes 'Slavery Simulator' Game18 junho 2024
-
Brazilian Slavery Simulator game removed by Google18 junho 2024
-
Digital 'Slavery Simulation' Game for Schools Draws Ire, Praise18 junho 2024
-
Announcement18 junho 2024
-
Slave Master: The Game on Steam18 junho 2024
-
Near Pure Evil/Video Games, Near Pure Evil Wiki18 junho 2024
-
Search18 junho 2024
-
What is the best story told in a video game? - Quora18 junho 2024
-
Global Governance Dimensions of Globally Networked Risks: The State of the Art in Social Science Research - Galaz - 2017 - Risk, Hazards & Crisis in Public Policy - Wiley Online Library18 junho 2024
você pode gostar
-
Qual crespa ou cacheada já não ouviu pelo menos uma dessas frases né?18 junho 2024
-
SHIKKAKU MON NO SAIKYOU KENJA TENDRÁ UNA 2 TEMPORADA18 junho 2024
-
The Swift Society on X: @taylorswift13 Yes, the glitch is there18 junho 2024
-
9 Best Free Games on Epic Game Store18 junho 2024
-
Across the Spider Verse 4K Wallpapers18 junho 2024
-
Julian Alaphillippe é o campeão mundial de ciclismo em 202018 junho 2024
-
TOUCH GRASS - O que significa essa expressão idiomática?18 junho 2024
-
Top funny dog Gifs of the Day by @aaaahhhh Laugh for life :) — Steemit18 junho 2024
-
Mad World - Gary Jules - Compact Piano Sheet Music : r/piano18 junho 2024
-
IMAGINE ✴ HAIKYUU e KUROKO NO BASKET - Motivos Pra Assistir KNB18 junho 2024