Stacked deep analytic model for human activity recognition on a UCI HAR database

Background Owing to low cost and ubiquity, human activity recognition using smartphones is emerging as a trendy mobile application in diverse appliances such as assisted living, healthcare monitoring, etc. Analysing this one-dimensional time-series signal is rather challenging due to its spatial and...

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Detalles Bibliográficos
Autores principales: Pang, Ying Han, Ping, Liew Yee, Ling, Goh Fan, Yin, Ooi Shih, How, Khoh Wee
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/PMC8956851/
https://www.ncbi.nlm.nih.gov/pubmed/35360410
http://dx.doi.org/10.12688/f1000research.73174.3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956851/
https://www.ncbi.nlm.nih.gov/pubmed/35360410
http://dx.doi.org/10.12688/f1000research.73174.3

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