Human-robot interaction: kinematic and kinetic data analysis framework (2020)
- Authors:
- USP affiliated authors: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC ; MORETTI, CAIO BENATTI - ICMC
- Unidade: ICMC
- DOI: 10.1109/BioRob49111.2020.9224415
- Subjects: DADOS CINÉTICOS; INTERAÇÃO HOMEM-MÁQUINA; ROBÓTICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2020
- Source:
- Título: Proceedings
- Conference titles: IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics - BioRob
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
MORETTI, Caio Benatti e DELBEM, Alexandre Cláudio Botazzo e KREBS, Hermano Igo. Human-robot interaction: kinematic and kinetic data analysis framework. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/BioRob49111.2020.9224415. Acesso em: 01 abr. 2026. -
APA
Moretti, C. B., Delbem, A. C. B., & Krebs, H. I. (2020). Human-robot interaction: kinematic and kinetic data analysis framework. In Proceedings. Piscataway: IEEE. doi:10.1109/BioRob49111.2020.9224415 -
NLM
Moretti CB, Delbem ACB, Krebs HI. Human-robot interaction: kinematic and kinetic data analysis framework [Internet]. Proceedings. 2020 ;[citado 2026 abr. 01 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224415 -
Vancouver
Moretti CB, Delbem ACB, Krebs HI. Human-robot interaction: kinematic and kinetic data analysis framework [Internet]. Proceedings. 2020 ;[citado 2026 abr. 01 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224415 - Robotic kinematic measures of the arm in chronic Stroke: part 2 – strong correlation with clinical outcome measures
- Robotic kinematic measures of the arm in chronic Stroke: part 1 – motor recovery patterns from tDCS preceding intensive training
- Machine-learning-based biomarkers towards customization of robotic rehabilitation treatments for stroke patients
- Análise de grandezas cinemáticas e dinâmicas inerentes à hemiparesia através da descoberta de conhecimento em base de dados
- On the effectiveness of genetic algorithms for the multidimensional knapsack problem
- Multimodality and the linkage-learning difficulty of additively separable functions
- Using smart sampling to discover promising regions and increase the efficiency of differential evolution
- Permutation-based recombination operator to node-depth encoding
- An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12
- A multi-criterion evolutionary approach applied to phylogenetic reconstruction
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3010818.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
