Fully automated clinical movement analysis from videos using skeleton-based deep learning

Autor:	A. Haukeland, Daniel Groos, Heri Ramampiaro, Ragnhild Støen, Espen A. F. Ihlen, S. Aubert, Lars Adde
Rok vydání:	2021
Předmět:	Movement analysis Fully automated Computer science business.industry Deep learning Rehabilitation Biophysics Orthopedics and Sports Medicine Computer vision Artificial intelligence Skeleton (category theory) business
Zdroj:	Gait & Posture. 90:72-73
ISSN:	0966-6362
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2cb8d066d84392e72a4e837bc45d98ed https://doi.org/10.1016/j.gaitpost.2021.09.037 Zobrazit plný text záznamu Full Text from ScienceDirect