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...

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Detalles Bibliográficos
Autores principales: Logacjov, Aleksej, Bach, Kerstin, Kongsvold, Atle, Bårdstu, Hilde Bremseth, Mork, Paul Jarle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659926/
https://www.ncbi.nlm.nih.gov/pubmed/34883863
http://dx.doi.org/10.3390/s21237853

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