A novel WGF-LN based edge driven intelligence for wearable devices in human activity recognition

Human activity recognition (HAR) is one of the key applications of health monitoring that requires continuous use of wearable devices to track daily activities. The most efficient supervised machine learning (ML)-based approaches for predicting human activity are based on a continuous stream of sens...

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Detalles Bibliográficos
Autores principales: Menaka, S. R., Prakash, M., Neelakandan, S., Radhakrishnan, Arun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587088/
https://www.ncbi.nlm.nih.gov/pubmed/37857665
http://dx.doi.org/10.1038/s41598-023-44213-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587088/
https://www.ncbi.nlm.nih.gov/pubmed/37857665
http://dx.doi.org/10.1038/s41598-023-44213-4

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