A Novel Hybrid Deep Learning Model for Human Activity Recognition Based on Transitional Activities

In recent years, a plethora of algorithms have been devised for efficient human activity recognition. Most of these algorithms consider basic human activities and neglect postural transitions because of their subsidiary occurrence and short duration. However, postural transitions assume a significan...

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Detalles Bibliográficos
Autores principales: Irfan, Saad, Anjum, Nadeem, Masood, Nayyer, Khattak, Ahmad S., Ramzan, Naeem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706790/
https://www.ncbi.nlm.nih.gov/pubmed/34960321
http://dx.doi.org/10.3390/s21248227

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706790/
https://www.ncbi.nlm.nih.gov/pubmed/34960321
http://dx.doi.org/10.3390/s21248227

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