Modernizing sports an intelligent strategy for entertainment through internet of things in sports

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Entertainment Computing Pub Date : 2024-06-29 DOI:10.1016/j.entcom.2024.100804
Rajesh Kedarnath Navandar , Syed Hamid Hasan , Netaji Jadhav , Kamred Udham Singh , R. Monisha , N Venkatram
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Abstract

A significant transformation towards a more engaging and entertaining viewer experience is provided by the incorporation of Internet of Things (IoT) innovation into the ever-changing world of current sports. With an emphasis on real-time tracking and assessment of athletic achievement, this study presents an extensive IoT-based strategy designed for the modern sports industry. Athlete tales, halftime displays and the general spectacle of big athletic events contribute to the entertainment value of the game. To provide a thorough assessment of athlete achievement in a timely manner, this research proposes a unique decision-making approach built on Adaptive Coral Reefs Optimized Xgboost (ACRO-XB). In particular, sport-specific characteristics are obtained through the use of electronic devices and an energy-effective procedure. To provide monitoring experts and competitors with efficient decision-making solutions, the ACRO-XB framework was developed. To validate the ACRO-XB approach, the simulation was run on a difficult dataset of 22,500 instances which is cricketers. Many modern analytical methods were used to undertake a comparison study. The simulation outcomes demonstrated that the ACRO-XB approach performed superior in conditions of recall, accuracy, f1-score and specificity by leveraging IoT data effectively for precise and timely athlete performance assessments, surpassing traditional methods in sports analytics. Furthermore, the suggested ACRO-XB approach was found to result in increased cell efficiency and stability.

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体育现代化--通过体育物联网实现娱乐化的智能战略
将物联网(IoT)创新融入瞬息万变的当今体育世界,将为观众带来更具吸引力和娱乐性的体验。本研究以实时跟踪和评估运动成绩为重点,为现代体育产业提出了广泛的物联网战略。运动员故事、中场休息展示和大型体育赛事的整体观赏性为比赛的娱乐价值做出了贡献。为了及时全面地评估运动员的成绩,本研究提出了一种基于自适应珊瑚礁优化 Xgboost(ACRO-XB)的独特决策方法。特别是,通过使用电子设备和高能效程序来获取特定运动的特征。为了向监测专家和选手提供高效的决策解决方案,开发了 ACRO-XB 框架。为了验证 ACRO-XB 方法,在一个包含 22,500 个板球运动员实例的困难数据集上进行了模拟运行。在进行比较研究时,使用了许多现代分析方法。模拟结果表明,ACRO-XB 方法通过有效利用物联网数据对运动员的表现进行精确、及时的评估,在召回率、准确率、f1 分数和特异性方面都表现出色,超越了体育分析领域的传统方法。此外,研究还发现所建议的 ACRO-XB 方法提高了细胞效率和稳定性。
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来源期刊
Entertainment Computing
Entertainment Computing Computer Science-Human-Computer Interaction
CiteScore
5.90
自引率
7.10%
发文量
66
期刊介绍: Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.
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