Two-step deep-learning identification of heel keypoints from video-recorded gait

Kjartan Halvorsen, Wei Peng, Fredrik Olsson, Anna Cristina Åberg

Open source

DOI
10.1007/s11517-024-03189-7
Published
2024-09-18
Container
Medical & Biological Engineering & Computing
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1007/s11517-024-03189-7,
  title = {Two-step deep-learning identification of heel keypoints from video-recorded gait},
  author = {Kjartan Halvorsen and Wei Peng and Fredrik Olsson and Anna Cristina Åberg},
  year = {2024},
  journal = {Medical \& Biological Engineering \& Computing},
  doi = {10.1007/s11517-024-03189-7},
  url = {https://doi.org/10.1007/s11517-024-03189-7}
}

RIS

TY  - JOUR
TI  - Two-step deep-learning identification of heel keypoints from video-recorded gait
AU  - Kjartan Halvorsen
AU  - Wei Peng
AU  - Fredrik Olsson
AU  - Anna Cristina Åberg
PY  - 2024
JO  - Medical & Biological Engineering & Computing
DO  - 10.1007/s11517-024-03189-7
UR  - https://doi.org/10.1007/s11517-024-03189-7
ER  - 

APA

Halvorsen, K., Peng, W., Olsson, F., & Åberg, A. C. (2024). Two-step deep-learning identification of heel keypoints from video-recorded gait. Medical & Biological Engineering & Computing. https://doi.org/10.1007/s11517-024-03189-7

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