HIT HAR: Human Image Threshing Machine for Human Activity Recognition Using Deep Learning Models

In recent days, research in human activity recognition (HAR) has played a significant role in healthcare systems. The accurate activity classification results from the HAR enhance the performance of the healthcare system with broad applications. HAR results are useful in monitoring a person's h...

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Detalles Bibliográficos
Autores principales: Poulose, Alwin, Kim, Jung Hwan, Han, Dong Seog
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560851/
https://www.ncbi.nlm.nih.gov/pubmed/36248917
http://dx.doi.org/10.1155/2022/1808990

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560851/
https://www.ncbi.nlm.nih.gov/pubmed/36248917
http://dx.doi.org/10.1155/2022/1808990

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