A deep-learning pipeline to extract clinical gait metrics from single-camera recordings

Chris L. Vellucci, Emma J. Ratke, Akanksha Guleria, Shawn M. Beaudette

Open source

DOI: 10.1016/j.jbiomech.2026.113573
Published: 2026-10
Container: Journal of Biomechanics
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.jbiomech.2026.113573,
  title = {A deep-learning pipeline to extract clinical gait metrics from single-camera recordings},
  author = {Chris L. Vellucci and Emma J. Ratke and Akanksha Guleria and Shawn M. Beaudette},
  year = {2026},
  journal = {Journal of Biomechanics},
  doi = {10.1016/j.jbiomech.2026.113573},
  url = {https://doi.org/10.1016/j.jbiomech.2026.113573}
}

RIS

TY  - JOUR
TI  - A deep-learning pipeline to extract clinical gait metrics from single-camera recordings
AU  - Chris L. Vellucci
AU  - Emma J. Ratke
AU  - Akanksha Guleria
AU  - Shawn M. Beaudette
PY  - 2026
JO  - Journal of Biomechanics
DO  - 10.1016/j.jbiomech.2026.113573
UR  - https://doi.org/10.1016/j.jbiomech.2026.113573
ER  -

APA

Vellucci, C. L., Ratke, E. J., Guleria, A., & Beaudette, S. M. (2026). A deep-learning pipeline to extract clinical gait metrics from single-camera recordings. Journal of Biomechanics. https://doi.org/10.1016/j.jbiomech.2026.113573

Source records

crossref · retrieved 2026-09-26T18:02:37.759Z