TY  - JOUR
U1  - Wissenschaftlicher Artikel
A1  - Hammes, Fabian
A1  - Hagg, Alexander
A1  - Asteroth, Alexander
A1  - Link, Daniel
T1  - Artificial Intelligence in Elite Sports-A Narrative Review of Success Stories and Challenges
JF  - Frontiers in Sports and Active Living
N2  - 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.
KW  - elite sports
KW  - SMPA loop
KW  - Artificial Intelligence
KW  - explainable AI
KW  - AI usage in sports
Y1  - 2022
UN  - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-63714
SN  - 2624-9367
SS  - 2624-9367
U6  - https://doi.org/10.3389/fspor.2022.861466
DO  - https://doi.org/10.3389/fspor.2022.861466
PM  - 35899138
VL  - 4
SP  - 15
S1  - 15
PB  - Frontiers Media
CY  - Lausanne, Switzerland
ER  -