TY  - JOUR
A1  - Sperlich, Billy
A1  - Düking, Peter
A1  - Leppich, Robert
A1  - Holmberg, Hans-Christer
T1  - Strengths, weaknesses, opportunities, and threats associated with the application of artificial intelligence in connection with sport research, coaching, and optimization of athletic performance: a brief SWOT analysis
JF  - Frontiers in Sports and Active Living
N2  - Here, we performed a non-systematic analysis of the strength, weaknesses, opportunities, and threats (SWOT) associated with the application of artificial intelligence to sports research, coaching and optimization of athletic performance. The strength of AI with regards to applied sports research, coaching and athletic performance involve the automation of time-consuming tasks, processing and analysis of large amounts of data, and recognition of complex patterns and relationships. However, it is also essential to be aware of the weaknesses associated with the integration of AI into this field. For instance, it is imperative that the data employed to train the AI system be both diverse and complete, in addition to as unbiased as possible with respect to factors such as the gender, level of performance, and experience of an athlete. Other challenges include e.g., limited adaptability to novel situations and the cost and other resources required. Opportunities include the possibility to monitor athletes both long-term and in real-time, the potential discovery of novel indicators of performance, and prediction of risk for future injury. Leveraging these opportunities can transform athletic development and the practice of sports science in general. Threats include over-dependence on technology, less involvement of human expertise, risks with respect to data privacy, breaching of the integrity and manipulation of data, and resistance to adopting such new technology. Understanding and addressing these SWOT factors is essential for maximizing the benefits of AI while mitigating its risks, thereby paving the way for its successful integration into sport science research, coaching, and optimization of athletic performance.
KW  - XAI and explainable artificial intelligence
KW  - XAI
KW  - elite sport
KW  - performance
KW  - exercise science
KW  - SWOT
KW  - artifical inteligence
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-357973
VL  - 5
ER  - 
TY  - JOUR
A1  - McIlroy, Benjamin
A1  - Passfield, Louis
A1  - Holmberg, Hans-Christer
A1  - Sperlich, Billy
T1  - Virtual training of endurance cycling – A summary of strengths, weaknesses, opportunities and threats
JF  - Frontiers in Sports and Active Living
N2  - Virtual online training has emerged as one of the top 20 worldwide fitness trends for 2021 and continues to develop rapidly. Although this allows the cycling community to engage in virtual training and competition, critical evaluation of virtual training platforms is limited. Here, we discuss the strengths, weaknesses, opportunities and threats associated with virtual training technology and cycling in an attempt to enhance awareness of such aspects. Strengths include immersive worlds, innovative drafting mechanics, and versatility. Weaknesses include questionable data accuracy, inadequate strength and reliability of power-speed algorithms. Opportunities exist for expanding strategic partnerships with major cycling races, brands, and sponsors and improving user experience with the addition of video capture and “e-coaching.” Threats are present in the form of cheating during competition, and a lack of uptake and acceptance by a broader community.
KW  - algorithms
KW  - cycling
KW  - e-coach
KW  - e-health
KW  - ergometer
KW  - simulation
KW  - virtual training
KW  - SWOT
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-258876
VL  - 3
ER  - 
TY  - JOUR
A1  - Düking, Peter
A1  - Holmberg, Hans-Christer
A1  - Sperlich, Billy
T1  - The potential usefulness of virtual reality systems for athletes: a short SWOT analysis
JF  - Frontiers in Physiology
N2  - No abstract available.
KW  - SWOT
KW  - virtual reality
KW  - athletes
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-176178
VL  - 9
IS  - 128
ER  -