Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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Performance Prediction of Cricket Player Using Blockchain Enabled HMM Model

Authors
Sai Radha Krishna G1, 2, *, Sandeep Kalakota1, Regula Harshavardhan1
1Department of ECE, Rajiv Gandhi University of Knowledge Technologies, Basar, Telangana, India
2Center for Wireless Networks and Applications (WNA), Amrita Vishwa Vidyapeetham, Amritapuri, India
*Corresponding author. Email: sairadhakg@am.amrita.edu
Corresponding Author
Sai Radha Krishna G
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_47How to use a DOI?
Keywords
Hidden Markov Model (HMM); Blockchain; InterPlanetary File System (IPFS); Cricket; Player Performance Prediction
Abstract

Sports play an essential role for human life which keeps physical and mental fitness. Competition in sports is rising day by day. In sports giving opportunity to right talented person is a challenging task. In countries like India, team sport like cricket faces huge competition. This paper introduces the performance prediction of cricket player using blockchain enabled Hidden Markov Model (HMM). In the proposed work, the time series data of matches played by batsmen during past one year is collected, analyzed and performance of a batsman is predicted by using HMM. The data obtained including the predicted results are stored in the proposed blockchain with IPFS based system architecture for data management, decentralization, data security and immutable. It focuses on the players rather than the whole match outcome so best players can team up.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
10.2991/978-94-6463-252-1_47
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_47How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sai Radha Krishna G
AU  - Sandeep Kalakota
AU  - Regula Harshavardhan
PY  - 2023
DA  - 2023/11/09
TI  - Performance Prediction of Cricket Player Using Blockchain Enabled HMM Model
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 438
EP  - 451
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_47
DO  - 10.2991/978-94-6463-252-1_47
ID  - G2023
ER  -