Infant Movement Classification Using Pose-Based Motion Features and a Learned Hybrid k-Nearest Neighbor Model.
- DOI
- 10.3390/bioengineering13101200
- Published
- 2026 Oct 15
- Container
- Bioengineering (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13101200,
title = {Infant Movement Classification Using Pose-Based Motion Features and a Learned Hybrid k-Nearest Neighbor Model.},
author = {Ari A and Çangur EY and Uzun Akkaya K and Atalan Efkere P and Gurler Ari B and Elbasan B and Sengur A and Tian Y},
year = {2026},
journal = {Bioengineering (Basel, Switzerland)},
doi = {10.3390/bioengineering13101200},
url = {https://doi.org/10.3390/bioengineering13101200}
}RIS
TY - JOUR TI - Infant Movement Classification Using Pose-Based Motion Features and a Learned Hybrid k-Nearest Neighbor Model. AU - Ari A AU - Çangur EY AU - Uzun Akkaya K AU - Atalan Efkere P AU - Gurler Ari B AU - Elbasan B AU - Sengur A AU - Tian Y PY - 2026 JO - Bioengineering (Basel, Switzerland) DO - 10.3390/bioengineering13101200 UR - https://doi.org/10.3390/bioengineering13101200 ER -
APA
A, A., EY, Ç., K, U. A., P, A. E., B, G. A., B, E., A, S., & Y, T. (2026). Infant Movement Classification Using Pose-Based Motion Features and a Learned Hybrid k-Nearest Neighbor Model.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13101200
Source records
- pubmed · retrieved 2026-11-10T05:14:26.682Z