Benchmarking Time-Series Artificial Intelligence Architectures for Wearable Sensor-Based Fall Prediction: A Synthetic Data Simulation Framework.

Sykes ER, Maghsoudimehrabani M, Al-Shanoon A

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DOI: 10.3390/s26113326
Published: 2026 May 24
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.3390/s26113326,
  title = {Benchmarking Time-Series Artificial Intelligence Architectures for Wearable Sensor-Based Fall Prediction: A Synthetic Data Simulation Framework.},
  author = {Sykes ER and Maghsoudimehrabani M and Al-Shanoon A},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26113326},
  url = {https://doi.org/10.3390/s26113326}
}

RIS

TY  - JOUR
TI  - Benchmarking Time-Series Artificial Intelligence Architectures for Wearable Sensor-Based Fall Prediction: A Synthetic Data Simulation Framework.
AU  - Sykes ER
AU  - Maghsoudimehrabani M
AU  - Al-Shanoon A
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26113326
UR  - https://doi.org/10.3390/s26113326
ER  -

APA

ER, S., M, M., & A, A. (2026). Benchmarking Time-Series Artificial Intelligence Architectures for Wearable Sensor-Based Fall Prediction: A Synthetic Data Simulation Framework.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26113326

Source records

pubmed · retrieved 2026-09-26T07:34:06.447Z
europe-pmc · retrieved 2026-09-26T07:34:06.440Z
doaj · retrieved 2026-09-26T07:34:06.416Z