A Multi-Head Attention Transformer Model for Wearable in Situ Fall Detection.
- DOI
- 10.1109/access.2026.3697249
- Published
- 2026
- Container
- IEEE access : practical innovations, open solutions
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/access.2026.3697249,
title = {A Multi-Head Attention Transformer Model for Wearable in Situ Fall Detection.},
author = {Tian J and Xu S and Gerstoft P and Sarkar M and Moore AA and Mercier P and Paolini C},
year = {2026},
journal = {IEEE access : practical innovations, open solutions},
doi = {10.1109/access.2026.3697249},
url = {https://doi.org/10.1109/access.2026.3697249}
}RIS
TY - JOUR TI - A Multi-Head Attention Transformer Model for Wearable in Situ Fall Detection. AU - Tian J AU - Xu S AU - Gerstoft P AU - Sarkar M AU - Moore AA AU - Mercier P AU - Paolini C PY - 2026 JO - IEEE access : practical innovations, open solutions DO - 10.1109/access.2026.3697249 UR - https://doi.org/10.1109/access.2026.3697249 ER -
APA
J, T., S, X., P, G., M, S., AA, M., P, M., & C, P. (2026). A Multi-Head Attention Transformer Model for Wearable in Situ Fall Detection.. IEEE access : practical innovations, open solutions. https://doi.org/10.1109/access.2026.3697249
Source records
- pubmed · retrieved 2026-11-10T10:14:10.023Z
- europe-pmc · retrieved 2026-11-10T10:14:10.033Z
- doaj · retrieved 2026-11-10T10:14:10.032Z