An IoT/FOG based framework for sports talent identification in COVID-19 like situations.

COVID-19 crippled all the domains of our society. The inevitable lockdowns and social distancing procedures have hit the process of traditional sports talent identification (TiD) severely. This will interrupt the career-excellency of athletes and will also affect the future talent in the years to come. We explore the effect of COVID-19 on sports talent identification and propose an IoT/Fog-based framework for theTiD process during COVID-19 and COVID-like situations. Our proposed novel six-layer model facilitates the sports talent identification remotely using the various latest Information and Communication Technologies like IoT, fog and cloud computing. All the stakeholders like experts, coaches, players, institutes etc. are taken into consideration. The framework is mobile, widely accessible, scalable, cost-effective, secure, platform/location independent and fast. A brief case study of cricket talent identification using the proposed framework is also provided. © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2022.

Citation

Naveed Jeelani Khan, Gulfam Ahamad, Mohd Naseem. An IoT/FOG based framework for sports talent identification in COVID-19 like situations. International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management. 2022;14(5):2513-2521

PMID: 35669983

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