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...

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Main Authors: Fabian Hammes, Alexander Hagg, Alexander Asteroth, Daniel Link
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
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.
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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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AT daniellink artificialintelligenceinelitesportsanarrativereviewofsuccessstoriesandchallenges
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