Godoy, Ricardo Vilela de; Lahr, Gustavo José Giardini; Dwivedi, Anany; Reis, Tharik José Sorrino dos; Polegato, Paulo Henrique; Becker, Marcelo 
; Caurin, Glauco Augusto de Paula ; Liarokapis, Minas
Fonte: IEEE Robotics and Automation Letters. Unidade: EESC
Assuntos: ELETROMIOGRAFIA, SISTEMA MUSCULOSQUELÉTICO
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GODOY, Ricardo Vilela de et al. Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers. IEEE Robotics and Automation Letters, v. 7, n. 4, p. 10200-10207, 2022Tradução . . Disponível em: https://doi.org/10.1109/LRA.2022.3192623. Acesso em: 11 dez. 2025.APA
Godoy, R. V. de, Lahr, G. J. G., Dwivedi, A., Reis, T. J. S. dos, Polegato, P. H., Becker, M., et al. (2022). Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers. IEEE Robotics and Automation Letters, 7( 4), 10200-10207. doi:10.1109/LRA.2022.3192623NLM
Godoy RV de, Lahr GJG, Dwivedi A, Reis TJS dos, Polegato PH, Becker M, Caurin GA de P, Liarokapis M. Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 4): 10200-10207.[citado 2025 dez. 11 ] Available from: https://doi.org/10.1109/LRA.2022.3192623Vancouver
Godoy RV de, Lahr GJG, Dwivedi A, Reis TJS dos, Polegato PH, Becker M, Caurin GA de P, Liarokapis M. Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 4): 10200-10207.[citado 2025 dez. 11 ] Available from: https://doi.org/10.1109/LRA.2022.3192623
