OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors

This paper presents a comprehensive dataset intended to evaluate passive Human Activity Recognition (HAR) and localization techniques with measurements obtained from synchronized Radio-Frequency (RF) devices and vision-based sensors. The dataset consists of RF data including Channel State Informatio...

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Detalles Bibliográficos
Autores principales: Bocus, Mohammud J., Li, Wenda, Vishwakarma, Shelly, Kou, Roget, Tang, Chong, Woodbridge, Karl, Craddock, Ian, McConville, Ryan, Santos-Rodriguez, Raul, Chetty, Kevin, Piechocki, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349197/
https://www.ncbi.nlm.nih.gov/pubmed/35922418
http://dx.doi.org/10.1038/s41597-022-01573-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349197/
https://www.ncbi.nlm.nih.gov/pubmed/35922418
http://dx.doi.org/10.1038/s41597-022-01573-2

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