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Advanced Digital Cricket Simulator with Integrated Performance and Fitness Analysis
Subject area: Science,Engineering and Technology · Area of research: Sports Performance and Fitness Analysis
Abstract
This project introduces a next-generation cricket simulator designed to transform traditional training methods through advanced technology integration. The system combines a digitally programmable bowling machine, an LED-based bowler animation display, and a machine vision video replay system to create a realistic, data-driven, and immersive training environment tailored for professional cricketers and coaches. The programmable bowling machine is capable of delivering a wide variety of deliveries with precision, enabling customized training sessions that simulate match conditions. The LED-based bowler animation display projects full-scale, high-fidelity visuals of real bowlers to provide a lifelike experience, improving a batsman's timing, anticipation, and decision-making under pressure. At the heart of the simulator is a machine vision-based video analysis system, employing high-speed cameras to capture detailed footage of player movements. This system enables post-session analysis of key performance and fitness parameters such as head position, footwork, balance, shot execution, and body alignment. By providing slow-motion replays and annotated breakdowns, it facilitates biomechanical assessment and technical feedback without the need for wearables or intrusive sensors. The simulator's real-time feedback and data analytics offer coaches and athletes deep insights into individual performance, helping to refine technique, enhance physical conditioning, and reduce injury risks. This evidence-based approach to training supports precise intervention and continuous improvement. With its integrated use of intelligent technology, realistic simulation, and analytical depth, this cricket simulator represents a significant leap forward in modern sports training.
Keywords
Machine vision, Cricket Simulator, IR sensor frame, Skill development, Image Processing, Ball throwing machine.
References
[1] Design and Control of a Programmable Bowling Machine for Cricket Practice - Author: Mishra S, Agarwal P & Verma A - International Journal of Mechanical Engineering and Robotics Research - [2017].
[2] Batting with an Eye on the Ball: Visual Perception in Cricket - Author: Muller S & Abernethy B -Journal of Sports Sciences - [2006].
[3] Immersive Training with Virtual Reality in Sports A Review - Author: Stenros M, Salin K & Smed J - Sports Technology Journal - [2020].
[4] Machine Vision-Based Biomechanical Analysis in Cricket Batting - Author: Pandey R, Dutta S & Srivastava S - Procedia Computer Science Journal - [2019].
[5] Biomechanics of the Cricket Batting Stroke: Implications for Injury Prevention and Performance - Author: Glazier P.S.- Sports Medicine Journal - [2010].
[6] A Real-Time Feedback and Skill Acquisition: Applications in Sports Coaching - Author: Carson H.J, Collins D & McNamara - International Journal of Sports Science & Coaching - [2018].
[7] Development of an Immersive Baseball Batting Simulator Using Virtual Pitcher Animation and Ball Projection - Author: Yoon J, Kim Y & Lee, H - IEEE Access [2021].
[8] Technological Advancements in Cricket Training: A Review of Existing Tools and Emerging Trends - Author: Rathore A, & Singh J - Journal of Sports Technology and Analytics - [2020].
How to cite this paper
@article{1708216,
author = {Gokulakannan S, Dr. Vaniprabha, Jeyaraman S},
title = {Advanced Digital Cricket Simulator with Integrated Performance and Fitness Analysis},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {11},
pages = {43-51},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708216.pdf},
abstract = {This project introduces a next-generation cricket simulator designed to transform traditional training methods through advanced technology integration. The system combines a digitally programmable bowling machine, an LED-based bowler animation display, and a machine vision video replay system to create a realistic, data-driven, and immersive training environment tailored for professional cricketers and coaches. The programmable bowling machine is capable of delivering a wide variety of deliveries with precision, enabling customized training sessions that simulate match conditions. The LED-based bowler animation display projects full-scale, high-fidelity visuals of real bowlers to provide a lifelike experience, improving a batsman's timing, anticipation, and decision-making under pressure. At the heart of the simulator is a machine vision-based video analysis system, employing high-speed cameras to capture detailed footage of player movements. This system enables post-session analysis of key performance and fitness parameters such as head position, footwork, balance, shot execution, and body alignment. By providing slow-motion replays and annotated breakdowns, it facilitates biomechanical assessment and technical feedback without the need for wearables or intrusive sensors. The simulator's real-time feedback and data analytics offer coaches and athletes deep insights into individual performance, helping to refine technique, enhance physical conditioning, and reduce injury risks. This evidence-based approach to training supports precise intervention and continuous improvement. With its integrated use of intelligent technology, realistic simulation, and analytical depth, this cricket simulator represents a significant leap forward in modern sports training. },
keywords = {Machine vision, Cricket Simulator, IR sensor frame, Skill development, Image Processing, Ball throwing machine.},
month = {May},
}