MSTCN: A multiscale temporal convolutional network for user independent human activity recognition [version 2; peer review: 2 approved, 1 approved with reservations]

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...

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Bibliographic Details
Main Authors: Sarmela Raja Sekaran, Ooi Shih Yin, Ying Han Pang, Goh Fan Ling
Format: Article
Language:English
Published: F1000 Research Ltd 2022-05-01
Series:F1000Research
Subjects:
Online Access:https://f1000research.com/articles/10-1261/v2