AI RESEARCH
Towards Athlete Fatigue Assessment from Association Football Videos
arXiv CS.CV
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ArXi:2604.05636v1 Announce Type: new Fatigue monitoring is central in association football due to its links with injury risk and tactical performance. However, objective fatigue-related indicators are commonly derived from subjective self-reported metrics, biomarkers derived from laboratory tests, or, recently, intrusive sensors such as heart monitors or GPS tracking data. This paper studies whether monocular broadcast videos can provide spatio-temporal signals of sufficient quality to fatigue-oriented analysis.