Utilizing deep learning models in CSI-based human activity recognition

In recent years, channel state information (CSI) in WiFi 802.11n has been increasingly used to collect data pertaining to human activity. Such raw data are then used to enhance human activity recognition. Activities such as lying down, falling, walking, running, sitting down, and standing up can now...

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Detalles Bibliográficos
Autores principales: Shalaby, Eman, ElShennawy, Nada, Sarhan, Amany
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739002/
https://www.ncbi.nlm.nih.gov/pubmed/35017796
http://dx.doi.org/10.1007/s00521-021-06787-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739002/
https://www.ncbi.nlm.nih.gov/pubmed/35017796
http://dx.doi.org/10.1007/s00521-021-06787-w

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