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Filtros : "Financiado pela CAPES." "IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics - BioRob" Removidos: "PASSADOR, JOÃO LUIZ" "HU" "Université Laval - Quebec - Canada" "Arábia Saudita" "TRABALHO DE EVENTO-RESUMO PERIODICO" Limpar

Filtros

USP affiliated authors
- siqueira, adriano almeida gonçalves (~2)
- ibarra, juan carlos perez (~1)
- nunes, polyana ferreira (~1)
- ostan, ícaro (~1)
Date published
- 2020 (~2)
Subjects
- engenharia mecânica (2)
- geometria e modelagem computacional (1)
- interação homem-máquina (1)
- marcha (1)
- modelos matemáticos (1)

Trabalho de evento
Design and validation of a human-exoskeleton model for evaluating interaction controls applied to rehabilitation robotics (2020)
Mosconi, Denis ; Nunes, Polyana Ferreira; Ostan, Ícaro; Siqueira, Adriano Almeida Gonçalves
Source: Proceedings. Conference titles: IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics - BioRob. Unidade: EESC
Subjects: MODELOS MATEMÁTICOS, GEOMETRIA E MODELAGEM COMPUTACIONAL, ROBÓTICA, ENGENHARIA MECÂNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOSCONI, Denis et al. Design and validation of a human-exoskeleton model for evaluating interaction controls applied to rehabilitation robotics. 2020, Anais.. Piscataway, NJ, USA: IEEE, 2020. Disponível em: https://doi.org/10.1109/BioRob49111.2020.9224436. Acesso em: 27 jun. 2024.
APA
Mosconi, D., Nunes, P. F., Ostan, Í., & Siqueira, A. A. G. (2020). Design and validation of a human-exoskeleton model for evaluating interaction controls applied to rehabilitation robotics. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/BioRob49111.2020.9224436
NLM
Mosconi D, Nunes PF, Ostan Í, Siqueira AAG. Design and validation of a human-exoskeleton model for evaluating interaction controls applied to rehabilitation robotics [Internet]. Proceedings. 2020 ;[citado 2024 jun. 27 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224436
Vancouver
Mosconi D, Nunes PF, Ostan Í, Siqueira AAG. Design and validation of a human-exoskeleton model for evaluating interaction controls applied to rehabilitation robotics [Internet]. Proceedings. 2020 ;[citado 2024 jun. 27 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224436
Trabalho de evento
Adaptive gait phase segmentation based on the time-varying identification of the ankle dynamics: technique and simulation results (2020)
Pérez Ibarra, Juan Carlos ; Siqueira, Adriano Almeida Gonçalves ; Krebs, Hermano Igo
Source: Proceedings. Conference titles: IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics - BioRob. Unidade: EESC
Subjects: INTERAÇÃO HOMEM-MÁQUINA, PROCESSOS DE MARKOV, ENGENHARIA MECÂNICA, MARCHA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PÉREZ IBARRA, Juan Carlos e SIQUEIRA, Adriano Almeida Gonçalves e KREBS, Hermano Igo. Adaptive gait phase segmentation based on the time-varying identification of the ankle dynamics: technique and simulation results. 2020, Anais.. Piscataway, NJ, USA: IEEE, 2020. Disponível em: https://doi.org/10.1109/BioRob49111.2020.9224404. Acesso em: 27 jun. 2024.
APA
Pérez Ibarra, J. C., Siqueira, A. A. G., & Krebs, H. I. (2020). Adaptive gait phase segmentation based on the time-varying identification of the ankle dynamics: technique and simulation results. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/BioRob49111.2020.9224404
NLM
Pérez Ibarra JC, Siqueira AAG, Krebs HI. Adaptive gait phase segmentation based on the time-varying identification of the ankle dynamics: technique and simulation results [Internet]. Proceedings. 2020 ;[citado 2024 jun. 27 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224404
Vancouver
Pérez Ibarra JC, Siqueira AAG, Krebs HI. Adaptive gait phase segmentation based on the time-varying identification of the ankle dynamics: technique and simulation results [Internet]. Proceedings. 2020 ;[citado 2024 jun. 27 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224404

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