Hybrid Convolutional Vision Transformer for Robust Low-Channel sEMG Hand Gesture Recognition: A Comparative Study with CNNs.

Rodriguez Serrezuela R, Zamora RS, Hermosilla DM, Gomez AER, Reyes EM

Open source

DOI
10.3390/biomimetics10120806
Published
2025 Dec 3
Container
Biomimetics (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/biomimetics10120806,
  title = {Hybrid Convolutional Vision Transformer for Robust Low-Channel sEMG Hand Gesture Recognition: A Comparative Study with CNNs.},
  author = {Rodriguez Serrezuela R and Zamora RS and Hermosilla DM and Gomez AER and Reyes EM},
  year = {2025},
  journal = {Biomimetics (Basel, Switzerland)},
  doi = {10.3390/biomimetics10120806},
  url = {https://doi.org/10.3390/biomimetics10120806}
}

RIS

TY  - JOUR
TI  - Hybrid Convolutional Vision Transformer for Robust Low-Channel sEMG Hand Gesture Recognition: A Comparative Study with CNNs.
AU  - Rodriguez Serrezuela R
AU  - Zamora RS
AU  - Hermosilla DM
AU  - Gomez AER
AU  - Reyes EM
PY  - 2025
JO  - Biomimetics (Basel, Switzerland)
DO  - 10.3390/biomimetics10120806
UR  - https://doi.org/10.3390/biomimetics10120806
ER  - 

APA

R, R. S., RS, Z., DM, H., AER, G., & EM, R. (2025). Hybrid Convolutional Vision Transformer for Robust Low-Channel sEMG Hand Gesture Recognition: A Comparative Study with CNNs.. Biomimetics (Basel, Switzerland). https://doi.org/10.3390/biomimetics10120806

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