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

Theme Issue 2024: 25 Years of Digital Health Excellence (54) Digital Health Reviews (1724) Fitness Trackers and Smart Pedometers/Accelerometers (665) Wearable Devices and Sensors (1133) Evaluation and Research Methodology for mHealth (242) Instruments and Questionnaires for Physical Activity and Lifestyle (114)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59497, first published .
Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review

Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review

Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review

Authors of this article:

Ya-Ting Liang1, 2 Author Orcid Image ;   Charlotte Wang2, 3 Author Orcid Image ;   Chuhsing Kate Hsiao2, 3 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

Journals

  1. Graham B, Farrell M. Mortality prediction using data from wearable activity trackers and individual characteristics: An explainable artificial intelligence approach. Expert Systems with Applications 2025;267:126195 View
  2. Liang Y, Wang C. Motif clustering and digital biomarker extraction for free-living physical activity analysis. BioData Mining 2025;18(1) View
  3. Machado-Rodrigues A, Rodrigues D, Nogueira H, Gama A, Fernandes H, Neto A, Padez C. The Risk of Pediatric Overweight and Children’s Objectively Measured Sedentary Behaviors and Physical Activity by Area of Residence. Healthcare 2025;13(5):462 View
  4. Machado-Rodrigues A, Rodrigues D, da Silva T, Mendes L, Silva P, Nogueira H, Gama A, Padez C. Variability in moderate-to-vigorous physical activity assessment: Comparing tri-axial accelerometry cut-off points in children. Sports Medicine and Health Science 2025 View
  5. Bouchan J, Verdot C, Charreire H, Deschamps V, Oppert J. Sex-Specific Leisure-Time Physical Activity and Sedentary Behavior Patterns in French Adults. Journal of Physical Activity and Health 2025;22(9):1124 View
  6. Fan L, Zhao J, Wang J, Zhou X, Wang X, Liu S, Wang F, Wei Q, Lin T, Lipsitz L. Accelerometer-measured multidimensional physical activity patterns and physical functional decline: a prospective national cohort study of aging. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences 2025;80(8) View
  7. Antonopoulos K, Skandamis T, Alogdianakis G, Faliagka E, Antonopoulos C, Voros N. Indoor Localization and ADL Monitoring via RSSI-Driven ML with Feedback Process. Electronics 2025;14(19):3759 View
  8. Donoso Brown E, Miller Neilan R, Brody F, Gallipoli J, McElroy T, Gough M. Evaluating the Psychometrics of Accelerometer Data for Independent Monitoring of Task Repetitive Practice. Sensors 2025;25(21):6686 View
  9. Marchiori M, Heidler J, Segantin G, Eckmann H, Chinapaw M, Kjærgaard M, Schipperijn J. Visualising accelerometer-based 24/7 human movement behaviour data: an umbrella review and framework development from the LABDA project. Journal of Activity, Sedentary and Sleep Behaviors 2025;4(1) View
  10. Taj F, Chinapaw J, Altenburg T, Vrijkotte T. Prospective association between descriptive accelerometer-derived physical behaviour metrics and cardiometabolic risk indicators in Dutch children: The ABCD study. Journal of Exercise Science & Fitness 2026;24(1):200431 View

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  1. Reddy Basani D, Lakshmi Gudivaka R, Grandhi S, Ramanjaneyulu Gudivaka B, Gudivaka R, Kamruzzaman M. 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0. AI-Powered Motion Analysis in Physical Education: GANs and Bayesian Approaches View

Dissertations

  1. . Digital health technologies for unsupervised physical activity testing and monitoring. View