Using phone sensors and an artificial neural network to detect gait changes during drinking episodes in the natural environment.
- DOI
- 10.1016/j.gaitpost.2017.11.019
- Published
- 2018 Feb
- Container
- Gait & posture
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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:10.1016/j.gaitpost.2017.11.019,
title = {Using phone sensors and an artificial neural network to detect gait changes during drinking episodes in the natural environment.},
author = {Suffoletto B and Gharani P and Chung T and Karimi H},
year = {2018},
journal = {Gait \& posture},
doi = {10.1016/j.gaitpost.2017.11.019},
url = {https://doi.org/10.1016/j.gaitpost.2017.11.019}
}RIS
TY - JOUR TI - Using phone sensors and an artificial neural network to detect gait changes during drinking episodes in the natural environment. AU - Suffoletto B AU - Gharani P AU - Chung T AU - Karimi H PY - 2018 JO - Gait & posture DO - 10.1016/j.gaitpost.2017.11.019 UR - https://doi.org/10.1016/j.gaitpost.2017.11.019 ER -
APA
B, S., P, G., T, C., & H, K. (2018). Using phone sensors and an artificial neural network to detect gait changes during drinking episodes in the natural environment.. Gait & posture. https://doi.org/10.1016/j.gaitpost.2017.11.019
Source records
- pubmed · retrieved 2026-09-25T23:43:19.947Z