Daily Posture Behavior Patterns Derived From Multitime-Scale Topic Models Using Wearable Triaxial Acceleration for Assessment of Concern About Falling.
- DOI
- 10.1109/jsen.2023.3241410
- Published
- 2023 Mar 15
- Container
- IEEE sensors journal
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1109/jsen.2023.3241410,
title = {Daily Posture Behavior Patterns Derived From Multitime-Scale Topic Models Using Wearable Triaxial Acceleration for Assessment of Concern About Falling.},
author = {Wang C and Wang Y and Zhao H and Liu G and Najafi B},
year = {2023},
journal = {IEEE sensors journal},
doi = {10.1109/jsen.2023.3241410},
url = {https://doi.org/10.1109/jsen.2023.3241410}
}RIS
TY - JOUR TI - Daily Posture Behavior Patterns Derived From Multitime-Scale Topic Models Using Wearable Triaxial Acceleration for Assessment of Concern About Falling. AU - Wang C AU - Wang Y AU - Zhao H AU - Liu G AU - Najafi B PY - 2023 JO - IEEE sensors journal DO - 10.1109/jsen.2023.3241410 UR - https://doi.org/10.1109/jsen.2023.3241410 ER -
APA
C, W., Y, W., H, Z., G, L., & B, N. (2023). Daily Posture Behavior Patterns Derived From Multitime-Scale Topic Models Using Wearable Triaxial Acceleration for Assessment of Concern About Falling.. IEEE sensors journal. https://doi.org/10.1109/jsen.2023.3241410
Source records
- pubmed · retrieved 2026-09-25T10:28:44.504Z