Fall risk assessment via multi-batch plantar pressure data fusion: an ensemble framework integrating global and local features.
- DOI
- 10.3389/fbioe.2026.1890356
- Published
- 2026
- Container
- Frontiers in bioengineering and biotechnology
- 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:10.3389/fbioe.2026.1890356,
title = {Fall risk assessment via multi-batch plantar pressure data fusion: an ensemble framework integrating global and local features.},
author = {Li S and Yao H and Huang Y and Xu Z and Qin K and Liu L and Zhang J and Zeng Q and Shu L},
year = {2026},
journal = {Frontiers in bioengineering and biotechnology},
doi = {10.3389/fbioe.2026.1890356},
url = {https://doi.org/10.3389/fbioe.2026.1890356}
}RIS
TY - JOUR TI - Fall risk assessment via multi-batch plantar pressure data fusion: an ensemble framework integrating global and local features. AU - Li S AU - Yao H AU - Huang Y AU - Xu Z AU - Qin K AU - Liu L AU - Zhang J AU - Zeng Q AU - Shu L PY - 2026 JO - Frontiers in bioengineering and biotechnology DO - 10.3389/fbioe.2026.1890356 UR - https://doi.org/10.3389/fbioe.2026.1890356 ER -
APA
S, L., H, Y., Y, H., Z, X., K, Q., L, L., J, Z., Q, Z., & L, S. (2026). Fall risk assessment via multi-batch plantar pressure data fusion: an ensemble framework integrating global and local features.. Frontiers in bioengineering and biotechnology. https://doi.org/10.3389/fbioe.2026.1890356
Source records
- pubmed · retrieved 2026-09-25T04:32:54.886Z