MSTCN: A multiscale temporal convolutional network for user independent human activity recognition

Background: In recent years, human activity recognition (HAR) has been an active research topic due to its widespread application in various fields such as healthcare, sports, patient monitoring, etc. HAR approaches can be categorised as handcrafted feature methods (HCF) and deep learning methods (D...

Descripción completa

Detalles Bibliográficos
Autores principales: Raja Sekaran, Sarmela, Pang, Ying Han, Ling, Goh Fan, Yin, Ooi Shih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989544/
https://www.ncbi.nlm.nih.gov/pubmed/36896393
http://dx.doi.org/10.12688/f1000research.73175.2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989544/
https://www.ncbi.nlm.nih.gov/pubmed/36896393
http://dx.doi.org/10.12688/f1000research.73175.2

Ejemplares similares