Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes.
This study describes the development, evaluation and application of a computer vision and deep learning system capable of capturing sprinting and skeleton push start step characteristics and mass centre velocities (sled and athlete). Movement data were captured concurrently by a marker-based motion...
Guardado en:
Autores principales: | Laurie Needham, Murray Evans, Darren P Cosker, Steffi L Colyer |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/267d56467c694d5c8b8494c62c1efea9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes
por: Laurie Needham, et al.
Publicado: (2021) -
From pillow to podium: a review on understanding sleep for elite athletes
por: O'Donnell S, et al.
Publicado: (2018) -
Time-motion analysis in elite female Wushu Sanda athletes according to competitive phases and weight categories
por: Breno Berny Vasconcelos, et al.
Publicado: (2021) -
Markerless tracking of an entire honey bee colony
por: Katarzyna Bozek, et al.
Publicado: (2021) -
The effect of whole body vibration on the sprint ability of Korean national bobsled and skeleton athletes.
por: Seok-Ki Min, et al.
Publicado: (2021)