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
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Yahua Zi   1 , MSc ;   Sjors RB van de Ven   2 , MSc ;   Eco JC de Geus   2 , PhD ;   Peijie Chen   1 , PhD

1 School of Exercise and Health, Shanghai University of Sport, Shanghai, China

2 Department of Biological Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

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