Application of a computer vision algorithm to quantify the frequency and duration of children's microactivities in different play scenarios.

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Title: Application of a computer vision algorithm to quantify the frequency and duration of children's microactivities in different play scenarios.
Authors: Lupolt SN; Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. slupolt1@jhu.edu.; Risk Sciences and Public Policy Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. slupolt1@jhu.edu., Lyu Q; Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA., Zhang G; Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA., Wang J; Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA., Tang S; Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA., Cho J; Department of Neuroscience, Johns Hopkins Krieger School of Arts and Sciences, Baltimore, MD, USA., Huynh C; Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA., Yuille A; Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA.; Department of Cognitive Science, Johns Hopkins Krieger School of Arts and Sciences, Baltimore, MD, USA., Voegtline K; Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA.; Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY, USA.; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA., Nachman KE; Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. knachman@jhu.edu.; Risk Sciences and Public Policy Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. knachman@jhu.edu.; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. knachman@jhu.edu.
Source: Journal of exposure science & environmental epidemiology [J Expo Sci Environ Epidemiol] 2026 Jul; Vol. 36 (4), pp. 713-724. Date of Electronic Publication: 2025 Aug 13.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101262796 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-064X (Electronic) Linking ISSN: 15590631 NLM ISO Abbreviation: J Expo Sci Environ Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1559-064X
DOI:10.1038/s41370-025-00800-3