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

Nasir, Abdul and Babu, Devin and Muhammad Sidik, M. H. and Abdullah, Norain Binti and Jabbar, Waheb A. (2024) Advancement of IoT-Based Smart Systems for Real-Time Sports Performance Analysis: Potential and Challenges. In: 2nd International Conference on Innovation and Technology in Sports, 27th-28th November 2023, Malaysia.

Text Accepted_Paper3.pdf - Accepted Version Restricted to Repository staff only until 21 July 2025. Download (374kB) | Request a copy

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.

Item Type:	Conference or Workshop Item (Paper)
Identification Number:	10.1007/978-981-97-3741-3_34
Dates:	Date Event 1 July 2024 Accepted 21 July 2024 Published Online
Uncontrolled Keywords:	Internet of Things, Sports performance analysis, Real-time data processing, Smart systems, Data security
Subjects:	CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-01 - engineering (non-specific)
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Engineering
Depositing User:	Gemma Tonks
Date Deposited:	16 May 2025 13:32
Last Modified:	16 May 2025 14:05
URI:	https://www.open-access.bcu.ac.uk/id/eprint/16361

Actions (login required)

View Item