Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and Challenges
This paper explores the role of artificial intelligence (AI) in elite sports. We approach the topic from two perspectives. Firstly, we provide a literature based overview of AI success stories in areas other than sports. We identified multiple approaches in the area of Machine Perception, Machine Le...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-07-01
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Series: | Frontiers in Sports and Active Living |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fspor.2022.861466/full |
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author | Fabian Hammes Alexander Hagg Alexander Asteroth Daniel Link Daniel Link |
author_facet | Fabian Hammes Alexander Hagg Alexander Asteroth Daniel Link Daniel Link |
author_sort | Fabian Hammes |
collection | DOAJ |
description | This paper explores the role of artificial intelligence (AI) in elite sports. We approach the topic from two perspectives. Firstly, we provide a literature based overview of AI success stories in areas other than sports. We identified multiple approaches in the area of Machine Perception, Machine Learning and Modeling, Planning and Optimization as well as Interaction and Intervention, holding a potential for improving training and competition. Secondly, we discover the present status of AI use in elite sports. Therefore, in addition to another literature review, we interviewed leading sports scientist, which are closely connected to the main national service institute for elite sports in their countries. The analysis of this literature review and the interviews show that the most activity is carried out in the methodical categories of signal and image processing. However, projects in the field of modeling & planning have become increasingly popular within the last years. Based on these two perspectives, we extract deficits, issues and opportunities and summarize them in six key challenges faced by the sports analytics community. These challenges include data collection, controllability of an AI by the practitioners and explainability of AI results. |
first_indexed | 2024-12-11T14:59:20Z |
format | Article |
id | doaj.art-1c7a889475504ccba6a749ab18599b0a |
institution | Directory Open Access Journal |
issn | 2624-9367 |
language | English |
last_indexed | 2024-12-11T14:59:20Z |
publishDate | 2022-07-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Sports and Active Living |
spelling | doaj.art-1c7a889475504ccba6a749ab18599b0a2022-12-22T01:01:13ZengFrontiers Media S.A.Frontiers in Sports and Active Living2624-93672022-07-01410.3389/fspor.2022.861466861466Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and ChallengesFabian Hammes0Alexander Hagg1Alexander Asteroth2Daniel Link3Daniel Link4Chair of Performance Analysis and Sports Informatics, Department of Sport and Health Science, Technical University of Munich, Munich, GermanyComputer Science, Institute of Technology, Resource and Energy-Efficient Engineering, Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, GermanyComputer Science, Institute of Technology, Resource and Energy-Efficient Engineering, Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, GermanyChair of Performance Analysis and Sports Informatics, Department of Sport and Health Science, Technical University of Munich, Munich, GermanyMunich Data Science Institute, Technical University of Munich, Munich, GermanyThis paper explores the role of artificial intelligence (AI) in elite sports. We approach the topic from two perspectives. Firstly, we provide a literature based overview of AI success stories in areas other than sports. We identified multiple approaches in the area of Machine Perception, Machine Learning and Modeling, Planning and Optimization as well as Interaction and Intervention, holding a potential for improving training and competition. Secondly, we discover the present status of AI use in elite sports. Therefore, in addition to another literature review, we interviewed leading sports scientist, which are closely connected to the main national service institute for elite sports in their countries. The analysis of this literature review and the interviews show that the most activity is carried out in the methodical categories of signal and image processing. However, projects in the field of modeling & planning have become increasingly popular within the last years. Based on these two perspectives, we extract deficits, issues and opportunities and summarize them in six key challenges faced by the sports analytics community. These challenges include data collection, controllability of an AI by the practitioners and explainability of AI results.https://www.frontiersin.org/articles/10.3389/fspor.2022.861466/fullartificial intelligenceelite sportsSMPA loopexplainable AIAI usage in sports |
spellingShingle | Fabian Hammes Alexander Hagg Alexander Asteroth Daniel Link Daniel Link Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and Challenges Frontiers in Sports and Active Living artificial intelligence elite sports SMPA loop explainable AI AI usage in sports |
title | Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and Challenges |
title_full | Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and Challenges |
title_fullStr | Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and Challenges |
title_full_unstemmed | Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and Challenges |
title_short | Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and Challenges |
title_sort | artificial intelligence in elite sports a narrative review of success stories and challenges |
topic | artificial intelligence elite sports SMPA loop explainable AI AI usage in sports |
url | https://www.frontiersin.org/articles/10.3389/fspor.2022.861466/full |
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