Investigating (re)current state-of-the-art in human activity recognition datasets

Many human activities consist of physical gestures that tend to be performed in certain sequences. Wearable inertial sensor data have as a consequence been employed to automatically detect human activities, lately predominantly with deep learning methods. This article focuses on the necessity of rec...

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Bibliographic Details
Main Authors: Marius Bock, Alexander Hoelzemann, Michael Moeller, Kristof Van Laerhoven
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Computer Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2022.924954/full