Stacked deep analytic model for human activity recognition on a UCI HAR database [version 2; peer review: 2 approved]

Stacked deep analytic model for human activity recognition on a UCI HAR database [version 2; peer review: 2 approved]

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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Bibliographic Details
Main Authors: Ooi Shih Yin, Liew Yee Ping, Ying Han Pang, Goh Fan Ling, Khoh Wee How
Format: Article
Language:English
Published: F1000 Research Ltd 2022-02-01
Series:F1000Research
Subjects:
smartphone
one-dimensional motion signal
activity recognition
stacking deep network
discriminant learning
eng
Online Access:https://f1000research.com/articles/10-1046/v2

Internet

https://f1000research.com/articles/10-1046/v2

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