Applications of Pose Estimation in Human Health and Performance across the Lifespan
The emergence of pose estimation algorithms represents a potential paradigm shift in the study and assessment of human movement. Human pose estimation algorithms leverage advances in computer vision to track human movement automatically from simple videos recorded using common household devices with...
Guardado en:
Autores principales: | Jan Stenum, Kendra M. Cherry-Allen, Connor O. Pyles, Rachel D. Reetzke, Michael F. Vignos, Ryan T. Roemmich |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1645132efa314022b1165b5509c8363e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Expedited Pose Estimation Algorithm Involving Perturbance Affine Term Based on Projection Vector for Space Target
por: Guiyang Zhang, et al.
Publicado: (2020) -
Monocular Human Depth Estimation Via Pose Estimation
por: Jinyoung Jun, et al.
Publicado: (2021) -
Dynamic Autonomous Identification and Intelligent Lighting of Moving Objects with Discomfort Glare Limitation
por: Sebastian Słomiński, et al.
Publicado: (2021) -
Multimodal Art Pose Recognition and Interaction With Human Intelligence Enhancement
por: Chengming Ma, et al.
Publicado: (2021) -
Graph-Based Hand-Object Meshes and Poses Reconstruction With Multi-Modal Input
por: Murad Almadani, et al.
Publicado: (2021)