Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability
- DOI
- 10.1115/1.4072487
- Published
- 2026-08-26
- Container
- Journal of Biomechanical Engineering
- Publisher
- ASME International
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1115/1.4072487,
title = {Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability},
author = {Baivab Bhandari and Shadman Tahmid and James Yang},
year = {2026},
journal = {Journal of Biomechanical Engineering},
doi = {10.1115/1.4072487},
url = {https://doi.org/10.1115/1.4072487}
}RIS
TY - JOUR TI - Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability AU - Baivab Bhandari AU - Shadman Tahmid AU - James Yang PY - 2026 JO - Journal of Biomechanical Engineering DO - 10.1115/1.4072487 UR - https://doi.org/10.1115/1.4072487 ER -
APA
Bhandari, B., Tahmid, S., & Yang, J. (2026). Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability. Journal of Biomechanical Engineering. https://doi.org/10.1115/1.4072487
Source records
- crossref · retrieved 2026-09-25T02:10:26.105Z