Simultaneous classification of hand gestures and elbow angles using sEMG signals: a comparison of machine learning performances
- DOI
- 10.1007/s13534-026-00607-7
- Published
- 2026-07-25
- Container
- Biomedical Engineering Letters
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s13534-026-00607-7,
title = {Simultaneous classification of hand gestures and elbow angles using sEMG signals: a comparison of machine learning performances},
author = {Shinjeong Lee and Junghun Kim and Sang-Il Choi},
year = {2026},
journal = {Biomedical Engineering Letters},
doi = {10.1007/s13534-026-00607-7},
url = {https://doi.org/10.1007/s13534-026-00607-7}
}RIS
TY - JOUR TI - Simultaneous classification of hand gestures and elbow angles using sEMG signals: a comparison of machine learning performances AU - Shinjeong Lee AU - Junghun Kim AU - Sang-Il Choi PY - 2026 JO - Biomedical Engineering Letters DO - 10.1007/s13534-026-00607-7 UR - https://doi.org/10.1007/s13534-026-00607-7 ER -
APA
Lee, S., Kim, J., & Choi, S. (2026). Simultaneous classification of hand gestures and elbow angles using sEMG signals: a comparison of machine learning performances. Biomedical Engineering Letters. https://doi.org/10.1007/s13534-026-00607-7
Source records
- crossref · retrieved 2026-11-10T07:04:20.974Z