| Full text | |
| Author(s): |
Wu, Yu Tzu
;
Fujiwara, Eric
;
Suzuki, Carlos Kenichi
;
IEEE
Total Authors: 4
|
| Document type: | Journal article |
| Source: | 2018 IEEE 15TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL (AMC); v. N/A, p. 5-pg., 2018-01-01. |
| Abstract | |
In this work, an optical myography system is demonstrated as an innovative and promising alternative to recover gesture information. During the experiments, a total of eight different postures were defined to evaluate the sensor performance. A classifier based on artificial neural network was trained and validated, showing an average precision of similar to 92% and accuracy of similar to 98%. (AU) | |
| FAPESP's process: | 14/25080-0 - Development of an optical fiber based tactile sensor system for applications in mechatronics |
| Grantee: | Eric Fujiwara |
| Support Opportunities: | Regular Research Grants |