Artificial Intelligence and Machine Learning in Sport Research
An Introduction for Non-data Scientists
Bibliographic Data
| ID | 5285704 |
|---|---|
| Authors | Nader Chmait (0000-0002-3152-382X, Victoria University, corresponding author), Hans Westerbeek (0000-0001-5092-9676, Victoria University) |
| Year | 2021 |
| Volume | 3 |
| Pages | 682287-682287 |
| Publication date | 2021-12-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Sports and Active Living (JOURNAL) |
| Journal identifiers | ISSN: 2624-9367 • E-ISSN: 2624-9367 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fspor.2021.682287 |
| PMID | 34957395 |
| OpenAlex | W4200624794 |
| Language | EN |
| Citations received | 7 |
| References cited | 33 |
In the last two decades, artificial intelligence (AI) has transformed the way in which we consume and analyse sports. The role of AI in improving decision-making and forecasting in sports, amongst many other advantages, is rapidly expanding and gaining more attention in both the academic sector and the industry. Nonetheless, for many sports audiences, professionals and policy makers, who are not particularly au courant or experts in AI, the connexion between artificial intelligence and sports remains fuzzy. Likewise, for many, the motivations for adopting a machine learning (ML) paradigm in sports analytics are still either faint or unclear. In this perspective paper, we present a high-level, non-technical, overview of the machine learning paradigm that motivates its potential for enhancing sports (performance and business) analytics. We provide a summary of some relevant research literature on the areas in which artificial intelligence and machine learning have been applied to the sports industry and in sport research. Finally, we present some hypothetical scenarios of how AI and ML could shape the future of sports
Analytics · Big data · Data mining · Data science · Knowledge management · Machine learning · Perspective (graphical · Political science · Artificial Intelligence in Games · Computer Science · Doping in Sports · Sports Analytics and Performance · Sports Science · Artificial Intelligence
Multidimensional team performance indicators in men's Uefa Euro 2024
Performance and healthcare analysis in elite sports teams using artificial intelligence
Evaluating the Influence of Artificial Intelligence on Scholarly Research
Predicting competitive alpine skiing performance by multivariable statistics—the need for individual profiling
Digital technologies in sports
Sport and the Promise of Artificial Intelligence
Validation of an instrumented mouthguard in rugby union-a pilot study comparing impact sensor technology to video analysis
| Unique citing works | 7 |
|---|---|
| Citations per year | 2,33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |