Evaluating circle-tracing performance using machine learning in a haptic interaction framework
- DOI
- 10.1088/1873-4030/aeb893
- Published
- 2026-11-02
- Container
- Medical Engineering & Physics
- Publisher
- IOP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1088/1873-4030/aeb893,
title = {Evaluating circle-tracing performance using machine learning in a haptic interaction framework},
author = {AmirHossein MajidiRad and Abbie McDowell and Jeff T Wight and George G A Pujalte},
year = {2026},
journal = {Medical Engineering \& Physics},
doi = {10.1088/1873-4030/aeb893},
url = {https://doi.org/10.1088/1873-4030/aeb893}
}RIS
TY - JOUR TI - Evaluating circle-tracing performance using machine learning in a haptic interaction framework AU - AmirHossein MajidiRad AU - Abbie McDowell AU - Jeff T Wight AU - George G A Pujalte PY - 2026 JO - Medical Engineering & Physics DO - 10.1088/1873-4030/aeb893 UR - https://doi.org/10.1088/1873-4030/aeb893 ER -
APA
MajidiRad, A., McDowell, A., Wight, J. T., & Pujalte, G. G. A. (2026). Evaluating circle-tracing performance using machine learning in a haptic interaction framework. Medical Engineering & Physics. https://doi.org/10.1088/1873-4030/aeb893
Source records
- crossref · retrieved 2026-11-10T11:06:51.853Z