Machine learning classifiers for automatic classification of foot strike patterns from 2D video.

Dæhlin TE, Johnson CD, Foulis SA, Hughes JM, Davis IS

Open source

DOI
10.1080/14763141.2026.2669133
Published
2026 May 11
Container
Sports biomechanics
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1080/14763141.2026.2669133,
  title = {Machine learning classifiers for automatic classification of foot strike patterns from 2D video.},
  author = {Dæhlin TE and Johnson CD and Foulis SA and Hughes JM and Davis IS},
  year = {2026},
  journal = {Sports biomechanics},
  doi = {10.1080/14763141.2026.2669133},
  url = {https://doi.org/10.1080/14763141.2026.2669133}
}

RIS

TY  - JOUR
TI  - Machine learning classifiers for automatic classification of foot strike patterns from 2D video.
AU  - Dæhlin TE
AU  - Johnson CD
AU  - Foulis SA
AU  - Hughes JM
AU  - Davis IS
PY  - 2026
JO  - Sports biomechanics
DO  - 10.1080/14763141.2026.2669133
UR  - https://doi.org/10.1080/14763141.2026.2669133
ER  - 

APA

TE, D., CD, J., SA, F., JM, H., & IS, D. (2026). Machine learning classifiers for automatic classification of foot strike patterns from 2D video.. Sports biomechanics. https://doi.org/10.1080/14763141.2026.2669133

Source records