Advancement of IoT-Based Smart Systems for Real-Time Sports Performance Analysis: Potential and Challenges

Abdul Nasir, Devin Babu, Norain Binti Abdullah, Waheb A. Jabbar

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Internet of Things (IoT) technology in the field of sports has brought about a significant transformation in the analysis of athletic performance, as it facilitates the seamless collection and processing of data in real time. Nevertheless, enduring obstacles encompass issues pertaining to data security, privacy, and the imperative for resilient real-time data processing capabilities. Mainly, data transfer rate is very important when it is related to real-time application. However the emergence of 5G, edge computing, machine learning, and artificial intelligence offers substantial prospects for augmenting the functionalities of these systems. This enhancement would result in more precise and prompt understandings of athletes’ performances, improvised training plan for specific objectives, and high potentially able to decrease risk of common injury. However, there are limitations even though these kinds of technologies have been implemented. On the other hand, cyber physical attacks threat is another aspect that must be taken into consideration in developing IoT devices. This article would also help the readers and researchers to understand the importance of data processing, smart systems, security and privacy and future trends in IoT application for sports performance analysis.
    Original languageEnglish
    Title of host publicationProceedings of the 2nd International Conference on Innovation and Technology in Sports, ICITS 2023, 27–28 November, Malaysia
    Subtitle of host publicationSpringer Nature Link
    PublisherSpringer Nature
    Pages377–391
    ISBN (Electronic)9789819737413
    DOIs
    Publication statusPublished (VoR) - 21 Jul 2024

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