Two-step deep-learning identification of heel keypoints from video-recorded gait
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-26T17:54:28.804Z