Cargando…
GaitRec, a large-scale ground reaction force dataset of healthy and impaired gait
The quantification of ground reaction forces (GRF) is a standard tool for clinicians to quantify and analyze human locomotion. Such recordings produce a vast amount of complex data and variables which are difficult to comprehend. This makes data interpretation challenging. Machine learning approache...
Autores principales: | Horsak, Brian, Slijepcevic, Djordje, Raberger, Anna-Maria, Schwab, Caterine, Worisch, Marianne, Zeppelzauer, Matthias |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217853/ https://www.ncbi.nlm.nih.gov/pubmed/32398644 http://dx.doi.org/10.1038/s41597-020-0481-z |
Ejemplares similares
-
GaitRec-Net: A Deep Neural Network for Gait Disorder Detection Using Ground Reaction Force
por: Pandey, Chandrasen, et al.
Publicado: (2022) -
Gutenberg Gait Database, a ground reaction force database of level overground walking in healthy individuals
por: Horst, Fabian, et al.
Publicado: (2021) -
Real-world measurements of ground reaction forces of normal gait of young adults wearing various footwear
por: Derlatka, Marcin, et al.
Publicado: (2023) -
Modeling biological individuality using machine learning: A study on human gait
por: Horst, Fabian, et al.
Publicado: (2023) -
Robust deep learning-based gait event detection across various pathologies
por: Dumphart, Bernhard, et al.
Publicado: (2023)