Published on in Vol 11 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/41153, first published
.

Journals
- Nawrin S, Inada H, Momma H, Nagatomi R. Examining physical activity clustering using machine learning revealed a diversity of 24-hour step-counting patterns. Journal of Activity, Sedentary and Sleep Behaviors 2024;3(1) View
- Wang B, Xiao Y, Yang X, Zhang X. An interpretable adaptive edge-weighted graph convolutional networks model for physical fitness assessment of primary school student in high-altitude regions. Scientific Reports 2025;15(1) View
- Dibben G, Santillan C, Brage S, Buman M, Duncan E, Granat M, Hillsdon M, Martin A, Matthews C, McCrorie P, Taylor R, Vasankari T, Foster C. Reporting of Accelerometry in Health Research: A Scoping Review of Current Guidance. Scandinavian Journal of Medicine & Science in Sports 2025;35(10) View
- Sang S. Evaluating team sport performance: a review of inertial sensor technologies and their applications. Sensor Review 2026;46(2):259 View
- Kircali Ata S, Zhou W, Tandi J, Lee W, Chan Y, Guretno F, Veeramani A, Liu W, Tan J, Wijaya F, Lim N, Krishnaswamy P, Erdt M. Graph-Based Modeling of Behavioral Transitions for Digital Health Applications: Trajectory Analysis Framework. Journal of Medical Internet Research 2026;28:e86629 View
Books/Policy Documents
- Torriani-Pasin C, dos Santos Palma G, da Silva L, Geed S. Locomotion and Posture in Older Adults. View
