| Texto completo | |
| Autor(es): |
Fujwara, Eric
;
Wu, Yu Tzu
;
Villela, Caio S.
;
Gomes, Matheus K.
;
Soares, Marco C. P.
;
Suzuki, Carlos K.
;
Ribas Neto, Antonio
;
Rohmer, Eric
;
IEEE
Número total de Autores: 9
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2018 SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE (SBFOTON IOPC); v. N/A, p. 5-pg., 2018-01-01. |
| Resumo | |
The force myography (FMG) is a method for retrieving the hand movements by assessing the radial forces exerted by the forearm muscles. In this context, optical fiber transducers based on different principles (microbending, LPFG, specklegram, and hetero-core structure) are evaluated for the measurement of FMG signals. Furthermore, the microbending transducer was applied on gesture recognition for the real-time control of a virtual prosthetic hand. The sensor presented similar to 0.05 N-1 sensitivity for a 20 N range and was successfully implemented on the classification of 4 postures, providing a low-cost and reliable approach for controlling multi-grasp bionic hands. (AU) | |
| Processo FAPESP: | 18/00688-6 - IEEE 15th International Workshop on Advanced Motion Control (AMC2018) |
| Beneficiário: | Eric Fujiwara |
| Modalidade de apoio: | Auxílio à Pesquisa - Reunião - Exterior |
| Processo FAPESP: | 17/25666-2 - Desenvolvimento de sensor de fibra óptica para medição de sinais de miografia de força aplicado a interfaces humano-robô |
| Beneficiário: | Eric Fujiwara |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 13/07559-3 - Instituto Brasileiro de Neurociência e Neurotecnologia - BRAINN |
| Beneficiário: | Fernando Cendes |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |