Dataset Groups Activity Stream TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition The TEMGNet framework is proposed for hand gesture recognition from sEMG signals. BibTex: @dataset{Elahe_Rahimian_and_Soheil_Zabihi_and_Amir_Asif_and_Dario_Farina_and_S_Farokh_Atashzar_and_Arash_Mohammadi_2024, abstract = {The TEMGNet framework is proposed for hand gesture recognition from sEMG signals.}, author = {Elahe Rahimian and Soheil Zabihi and Amir Asif and Dario Farina and S. Farokh Atashzar and Arash Mohammadi}, doi = {10.57702/2e6r1apb}, institution = {No Organization}, keyword = {'ViT', 'attention mechanism', 'hand gestures', 'neurorobotics', 'sEMG'}, month = {dec}, publisher = {TIB}, title = {TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition}, url = {https://service.tib.eu/ldmservice/dataset/temgnet--deep-transformer-based-decoding-of-upperlimb-semg-for-hand-gestures-recognition}, year = {2024} }
