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TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition

The TEMGNet framework is proposed for hand gesture recognition from sEMG signals.

Data and Resources

Cite this as

Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, S. Farokh Atashzar, Arash Mohammadi (2024). Dataset: TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition. https://doi.org/10.57702/2e6r1apb

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Elahe Rahimian
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Soheil Zabihi
Amir Asif
Dario Farina
S. Farokh Atashzar
Arash Mohammadi