This paper is in the following e-collection/theme issue:

Reviews (137) Wearables and MHealth Reviews (314) Fitness Trackers and Smart Pedometers/Accelerometers (679) Machine Learning (2121)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76601, first published .
Machine and Deep Learning for Detection of Moderate-to-Vigorous Physical Activity From Accelerometer Data: Systematic Scoping Review

Machine and Deep Learning for Detection of Moderate-to-Vigorous Physical Activity From Accelerometer Data: Systematic Scoping Review

Machine and Deep Learning for Detection of Moderate-to-Vigorous Physical Activity From Accelerometer Data: Systematic Scoping Review

Authors of this article:

Yahua Zi1 Author Orcid Image ;   Sjors RB van de Ven2 Author Orcid Image ;   Eco JC de Geus2 Author Orcid Image ;   Peijie Chen1 Author Orcid Image
Article Authors Cited by Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.