Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning
- DOI
- 10.3390/s21144770
- Published
- 2021-07-13
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s21144770,
title = {Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning},
author = {Barry R. Greene and Killian McManus and Lilian Genaro Motti Ader and Brian Caulfield},
year = {2021},
journal = {Sensors},
doi = {10.3390/s21144770},
url = {https://doi.org/10.3390/s21144770}
}RIS
TY - JOUR TI - Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning AU - Barry R. Greene AU - Killian McManus AU - Lilian Genaro Motti Ader AU - Brian Caulfield PY - 2021 JO - Sensors DO - 10.3390/s21144770 UR - https://doi.org/10.3390/s21144770 ER -
APA
Greene, B. R., McManus, K., Ader, L. G. M., & Caulfield, B. (2021). Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning. Sensors. https://doi.org/10.3390/s21144770
Source records
- crossref · retrieved 2026-09-26T14:45:57.818Z