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: Proceedings. Nome do evento: IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics - BioRob. Unidade: EESC
Assunto: ENGENHARIA AERONÁUTICA
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GODOY, Ricardo Vilela de et al. Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers. 2022, Anais.. Piscataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/BioRob52689.2022.9925307. Acesso em: 09 jul. 2024.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. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/BioRob52689.2022.9925307NLM
Godoy RV de, Lahr GJG, Dwivedi A, Reis ^T^J^S^dos, Polegato PH, Becker M, Caurin GA de P, Liarokapis M. Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers [Internet]. Proceedings. 2022 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.1109/BioRob52689.2022.9925307Vancouver
Godoy RV de, Lahr GJG, Dwivedi A, Reis ^T^J^S^dos, Polegato PH, Becker M, Caurin GA de P, Liarokapis M. Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers [Internet]. Proceedings. 2022 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.1109/BioRob52689.2022.9925307
