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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Michael Zwölfer, Dieter Heinrich, Kurt Schindelwig, Bastian Wandt, Helge Rhodin, Jörg Spörri, Werner Nachbauer
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2023-01-01
Saila:	JSAMS Plus
Gaiak:	ACL injuries Athletes Deep learning Human pose estimation Alpine skiing
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S2772696723000157
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!