Investigating the Impact of Information Sharing in Human Activity Recognition

The accuracy of Human Activity Recognition is noticeably affected by the orientation of smartphones during data collection. This study utilized a public domain dataset that was specifically collected to include variations in smartphone positioning. Although the dataset contained records from various...

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Detalles Bibliográficos
Autores principales: Shafique, Muhammad Awais, Marchán, Sergi Saurí
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948682/
https://www.ncbi.nlm.nih.gov/pubmed/35336451
http://dx.doi.org/10.3390/s22062280

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948682/
https://www.ncbi.nlm.nih.gov/pubmed/35336451
http://dx.doi.org/10.3390/s22062280

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