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
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: 20 out. 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/BioRob49111.2020.9224404NLM
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 out. 20 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224404Vancouver
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 out. 20 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224404