Advancing Decision Review System (DRS) in Cricket: Harnessing Ai for Enhanced Decision Making

Full Text (PDF, 398KB), PP.25-32

Views: 0 Downloads: 0

Author(s)

R. Satheeskumar 1,*

1. Department of Computer Science and Engineering, Narasaraopeta Engineering College, Andhra Pradesh-522601, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijeme.2023.06.03

Received: 19 May 2023 / Revised: 12 Jun. 2023 / Accepted: 16 Jul. 2023 / Published: 8 Dec. 2023

Index Terms

AI techniques, Automated decision-making, Ball-tracking systems, Cricket, Decision Review System (DRS), Predictive analytics

Abstract

The Decision Review System (DRS) in cricket has significantly improved decision-making accuracy, but there is immense potential for advancement through the integration of AI techniques. This paper explores the concept of advancing the DRS by harnessing AI capabilities to enhance decision-making in cricket matches. It presents an overview of the current state of the DRS, highlighting its components and limitations. The paper then delves into the possibilities offered by AI, including ball-tracking algorithms, predictive analytics, automated decision-making, and refining technology accuracy. Furthermore, it discusses the challenges associated with data availability, model transparency, and maintaining the integrity of the game. By harnessing AI techniques in the DRS, cricket can benefit from objective and data-driven decision-making, reducing human error and enhancing fairness in the game.

Cite This Paper

R. Satheeskumar, "Advancing Decision Review System (DRS) in Cricket: Harnessing Ai for Enhanced Decision Making", International Journal of Education and Management Engineering (IJEME), Vol.13, No.6, pp. 25-32, 2023. DOI:10.5815/ijeme.2023.06.03

Reference

[1]Indika Wickramasinghe,“Applications of Machine Learning in cricket: A systematic review” Machine Learning with Applications 10 (2022) Published by Elsevier Ltd.
[2]Pallav Chaudhary, Gourang Ajmera, Saket Joshi, “Umpire Decision Review System in Cricket”, International Journal of Science, Engineering and Technology, 2021- ISSN (Online): 2348-4098.
[3]P Nirmala devi1, K Manoj Senthil, Selvavignesh S “Artificial intelligent third umpire runout decision making using image processing”, IOP Conf. Series: Materials Science and Engineering 1055 (2021) 012095.
[4]Ms. Kajal Shirke, Ms. Varsha Warise, Ms. Pooja Waykule , Prof. S.N. Mhatre ,“DRS Assisting umpire using Computer vision”, International Journal of Engineering Applied Sciences and Technology, 2021 Vol. 5, Issue 11, ISSN No. 2455-2143, Pages 262-266.
[5]Suman DC ,“Artificial Intelligence in Sport: An Ethical Issue”, Unity Journal Vol. III, 27-39, 2022.
[6]https://madaboutsports.in/how-ai-is-used-in-cricket/
[7]https://www.analyticssteps.com/blogs/ai-cricket-data-analytics-cricket
[8]https://www.freecodecamp.org/news/feature-engineering-and-feature-selection-for-beginners/
[9]Muhammad Fahim Uddin, Jeongkyu Lee 1,Syed Rizvi and Samir Hamada “Proposing Enhanced Feature Engineering and a Selection Model for Machine Learning Processes”, MDPI-Applied Sciences Published: 20 April 2018.
[10]https://www.analyticssteps.com/blogs/feature-engineering-process-and-techniques
[11]S. Velliangiri, S. Alagumuthukrishnan , S Iwin Thankumar joseph , “A Review of Dimensionality Reduction Techniques for Efficient Computation”, Elsevier- Procedia Computer Science Volume 165, 2019, Pages 104-111
[12]https://www.kdnuggets.com/2021/10/machine-learning-model-development-operations - principles-practice.html
[13]Ravinesh C. Deo; Zaher Mundher Yaseen; Nadhir Al-Ansari; Thong Nguyen-Huy; Trevor Ashl ,“Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses” , IEEE Access- 21 July 2020 ISSN: 2169-3536 PP No: 136697 – 136724.
[14]Emrana Kabir Hashi, Md. Shahid Zaman, “Developing a Hyperparameter Tuning Based Machine Learning Approach of Heart Disease Prediction” October 2020 Journal of Applied Science & Process Engineering 7(2):631-647
[15]Fan Ouyang, Mian Wu, Luyi Zheng, Liyin Zhang & Pengcheng Jiao “Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course, International Journal of Educational Technology in Higher Education volume 20, Article number: 4 (2023).
[16]Siruo Wang, Tyler H. McCormick, and Jeffrey T. Leek, “Methods for correcting inference based on outcomes predicted by machine learning”, Research Article -Physical Sciences November 18, 2020 117 (48) 30266-30275.
[17]https://machinelearningmastery.com/confidence-intervals-for-machine-learning/
[18]Hansinie Jayathilake, Dushyanthi Vidanagama, “Decision support system for school cricket in Sri Lanka (CricDSS)”, 2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer)
[19]Fahim Sufi ,“A decision support system for extracting artificial intelligence-driven insights from live twitter feeds on natural disasters”, Decision Analytics Journal Volume 5, December 2022, 100130.
[20]Florian Bachinger, Gabriel Kronberger, Michael Affenzeller , “Continuous improvement and adaptation of predictive models in smart manufacturing and model management”, Original Research Paper - IET Collaborative IntelligentManufacturing- November2020.
[21]Gagan Deep Sharma PhD, Anshita Yadav, Ritika Chopr, “Artificial intelligence and effective governance: A review, critique and research agenda”, Elsevier- Sustainable Futures Volume 2, 2020, 100004.