A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition

Recent advances in artificial intelligence and machine learning (ML) led to effective methods and tools for analyzing the human behavior. Human Activity Recognition (HAR) is one of the fields that has seen an explosive research interest among the ML community due to its wide range of applications. H...

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Detalles Bibliográficos
Autores principales: Abbaspour, Saedeh, Fotouhi, Faranak, Sedaghatbaf, Ali, Fotouhi, Hossein, Vahabi, Maryam, Linden, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582332/
https://www.ncbi.nlm.nih.gov/pubmed/33036479
http://dx.doi.org/10.3390/s20195707

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582332/
https://www.ncbi.nlm.nih.gov/pubmed/33036479
http://dx.doi.org/10.3390/s20195707

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