Characterisation of temporal patterns in step count behaviour from smartphone app data: an unsupervised machine learning approach

Pontin, F orcid.org/0000-0002-7143-8718, Lomax, N, Clarke, G et al. (1 more author) Characterisation of temporal patterns in step count behaviour from smartphone app data: an unsupervised machine learning approach. International Journal of Environmental Research and Public Health. ISSN 1660-4601 (In Press)

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Item Type: Article
Authors/Creators:
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Jun 2025 14:27
Last Modified: 16 Jun 2025 14:27
Status: In Press
Publisher: MDPI AG
Open Archives Initiative ID (OAI ID):

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