Cargando…
HARTH: A Human Activity Recognition Dataset for Machine Learning
Existing accelerometer-based human activity recognition (HAR) benchmark datasets that were recorded during free living suffer from non-fixed sensor placement, the usage of only one sensor, and unreliable annotations. We make two contributions in this work. First, we present the publicly available Hu...
Autores principales: | Logacjov, Aleksej, Bach, Kerstin, Kongsvold, Atle, Bårdstu, Hilde Bremseth, Mork, Paul Jarle |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659926/ https://www.ncbi.nlm.nih.gov/pubmed/34883863 http://dx.doi.org/10.3390/s21237853 |
Ejemplares similares
-
Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study
por: Kongsvold, Atle, et al.
Publicado: (2023) -
Effects of Strength Training on Muscle Properties, Physical Function, and Physical Activity among Frail Older People: A Pilot Study
por: Saeterbakken, Atle Hole, et al.
Publicado: (2018) -
The short- and long-term effects of resistance training with different stability requirements
por: Saeterbakken, Atle Hole, et al.
Publicado: (2019) -
Muscle Strength Is Associated With Physical Function in Community-Dwelling Older Adults Receiving Home Care. A Cross-Sectional Study
por: Bårdstu, Hilde Bremseth, et al.
Publicado: (2022) -
Physical Activity Level Following Resistance Training in Community-Dwelling Older Adults Receiving Home Care: Results from a Cluster-Randomized Controlled Trial
por: Bårdstu, Hilde Bremseth, et al.
Publicado: (2021)