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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 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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Document Type:Article
Author:Fabian Hammes, Alexander Hagg, Alexander Asteroth, Daniel Link
Parent Title (English):Frontiers in Sports and Active Living
Article Number:861466
Number of pages:15
Publisher:Frontiers Media
Place of publication:Lausanne, Switzerland
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2022/07/11
Copyright:Copyright © 2022 Hammes, Hagg, Asteroth and Link. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Funding:This study was supported by the German Federal Institute of Sport Science (BISp, www.bisp.de), grant number 080602/19-20.
Keyword:AI usage in sports; Artificial Intelligence; SMPA loop; elite sports; explainable AI
Departments, institutes and facilities:Fachbereich Informatik
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren
Entry in this database:2022/08/03
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International