MobiPhysio: A 2D video dataset of physiotherapy exercises for AI-driven assessment and monitoring.
- DOI
- 10.1016/j.dib.2026.112635
- Published
- 2026 Apr
- Container
- Data in brief
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.1016/j.dib.2026.112635,
title = {MobiPhysio: A 2D video dataset of physiotherapy exercises for AI-driven assessment and monitoring.},
author = {Iqbal MTB and Mostafa MT and Ahmed MT and Fahim MF and Ahmed MS and Ahamad A and Islam KR and Ryu B and Song G and Hossain MZ},
year = {2026},
journal = {Data in brief},
doi = {10.1016/j.dib.2026.112635},
url = {https://doi.org/10.1016/j.dib.2026.112635}
}RIS
TY - JOUR TI - MobiPhysio: A 2D video dataset of physiotherapy exercises for AI-driven assessment and monitoring. AU - Iqbal MTB AU - Mostafa MT AU - Ahmed MT AU - Fahim MF AU - Ahmed MS AU - Ahamad A AU - Islam KR AU - Ryu B AU - Song G AU - Hossain MZ PY - 2026 JO - Data in brief DO - 10.1016/j.dib.2026.112635 UR - https://doi.org/10.1016/j.dib.2026.112635 ER -
APA
MTB, I., MT, M., MT, A., MF, F., MS, A., A, A., KR, I., B, R., G, S., & MZ, H. (2026). MobiPhysio: A 2D video dataset of physiotherapy exercises for AI-driven assessment and monitoring.. Data in brief. https://doi.org/10.1016/j.dib.2026.112635
Source records
- pubmed · retrieved 2026-09-27T12:46:13.779Z