Validity of neural networks to determine body position on the bicycle (2023)
- Authors:
- Autor USP: SANTIAGO, PAULO ROBERTO PEREIRA - EEFERP
- Unidade: EEFERP
- DOI: 10.1080/02701367.2022.2070103
- Subjects: BIOMECÂNICA; CINESIOLOGIA; REDES NEURAIS; BICICLETAS; POSTURA
- Keywords: Biomechanics; Kinesiology; Quantitative study; Technology
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Philadelphia
- Date published: 2023
- Source:
- Título: Research Quarterly for Exercise and Sport
- ISSN: 0270-1367
- Volume/Número/Paginação/Ano: on-line, 2023
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BINI, Rodrigo Rico et al. Validity of neural networks to determine body position on the bicycle. Research Quarterly for Exercise and Sport, 2023Tradução . . Disponível em: https://doi.org/10.1080/02701367.2022.2070103. Acesso em: 12 jan. 2026. -
APA
Bini, R. R., Serrancoli, G., Santiago, P. R. P., Pinto, A., & Moura, F. (2023). Validity of neural networks to determine body position on the bicycle. Research Quarterly for Exercise and Sport. doi:10.1080/02701367.2022.2070103 -
NLM
Bini RR, Serrancoli G, Santiago PRP, Pinto A, Moura F. Validity of neural networks to determine body position on the bicycle [Internet]. Research Quarterly for Exercise and Sport. 2023 ;[citado 2026 jan. 12 ] Available from: https://doi.org/10.1080/02701367.2022.2070103 -
Vancouver
Bini RR, Serrancoli G, Santiago PRP, Pinto A, Moura F. Validity of neural networks to determine body position on the bicycle [Internet]. Research Quarterly for Exercise and Sport. 2023 ;[citado 2026 jan. 12 ] Available from: https://doi.org/10.1080/02701367.2022.2070103 - Functional movement modeling for robot-assisted upper limb rehabilitation: the case of a simulated reduced-freedom anthropomorphic manipulator
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Informações sobre o DOI: 10.1080/02701367.2022.2070103 (Fonte: oaDOI API)
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