Deep learning-based 2D keypoint detection in alpine ski racing – A performance analysis of state-of-the-art algorithms applied to regular skiing and injury situations

Objectives: In this study, we examined the practicability of deep learning-based 2D keypoint detection applied to regular skiing and injury situations (i.e., out-of-balance situations and fall situations) on an alpine ski racing track. Methods: We therefore created a regular skiing- and injury situa...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Michael Zwölfer, Dieter Heinrich, Kurt Schindelwig, Bastian Wandt, Helge Rhodin, Jörg Spörri, Werner Nachbauer
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2023-01-01
Sarja:	JSAMS Plus
Aiheet:	ACL injuries Athletes Deep learning Human pose estimation Alpine skiing
Linkit:	http://www.sciencedirect.com/science/article/pii/S2772696723000157
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