| Full text | |
| Author(s): |
Fujwara, Eric
;
Wu, Yu Tzu
;
Villela, Caio S.
;
Gomes, Matheus K.
;
Soares, Marco C. P.
;
Suzuki, Carlos K.
;
Ribas Neto, Antonio
;
Rohmer, Eric
;
IEEE
Total Authors: 9
|
| Document type: | Journal article |
| Source: | 2018 SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE (SBFOTON IOPC); v. N/A, p. 5-pg., 2018-01-01. |
| Abstract | |
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) | |
| FAPESP's process: | 18/00688-6 - IEEE 15th International Workshop on Advanced Motion Control (AMC2018) |
| Grantee: | Eric Fujiwara |
| Support Opportunities: | Research Grants - Meeting - Abroad |
| FAPESP's process: | 17/25666-2 - Development of an optical fiber force myography sensor for applications in human-robot interfaces |
| Grantee: | Eric Fujiwara |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology |
| Grantee: | Fernando Cendes |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |